Relevant bibliographies by topics / Cartons Classification

Academic literature on the topic 'Cartons Classification'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Cartons Classification"

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Yang, Jinrong, Shengkai Wu, Lijun Gou, Hangcheng Yu, Chenxi Lin, Jiazhuo Wang, Pan Wang, Minxuan Li, and Xiaoping Li. "SCD: A Stacked Carton Dataset for Detection and Segmentation." Sensors 22, no. 10 (May 10, 2022): 3617. http://dx.doi.org/10.3390/s22103617.

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Carton detection is an important technique in the automatic logistics system and can be applied to many applications such as the stacking and unstacking of cartons and the unloading of cartons in the containers. However, there is no public large-scale carton dataset for the research community to train and evaluate the carton detection models up to now, which hinders the development of carton detection. In this article, we present a large-scale carton dataset named Stacked Carton Dataset (SCD) with the goal of advancing the state-of-the-art in carton detection. Images were collected from the Internet and several warehouses, and objects were labeled for precise localization using instance mask annotation. There were a total of 250,000 instance masks from 16,136 images. Naturally, a suite of benchmarks was established with several popular detectors and instance segmentation models. In addition, we designed a carton detector based on RetinaNet by embedding our proposed Offset Prediction between the Classification and Localization module (OPCL) and the Boundary Guided Supervision module (BGS). OPCL alleviates the imbalance problem between classification and localization quality, which boosts AP by 3.1∼4.7% on SCD at the model level, while BGS guides the detector to pay more attention to the boundary information of cartons and decouple repeated carton textures at the task level. To demonstrate the generalization of OPCL for other datasets, we conducted extensive experiments on MS COCO and PASCAL VOC. The improvements in AP on MS COCO and PASCAL VOC were 1.8∼2.2% and 3.4∼4.3%, respectively.
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N. Prokhorova, Olga, Ekaterina F. Bekh, Olga V. Dekhnich, Ekaterina V. Seredina, and Natalia V. Fisunova. "APPROACHES OF INFORMAL AND CASUAL COMMUNICATION IN POLITICAL CARTOONS." Revista de Investigaciones Universidad del Quindío 34, S2 (June 14, 2022): 42–48. http://dx.doi.org/10.33975/riuq.vol34ns2.877.

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The current study tries to investigate approaches to communication, including dysphemism and euphemisms in political cartoons. Free expression of public opinion and personal, political cartoon humor and got an essential part of the information and data arena. That makes the political cartoons genre more related and remarkable than before. This given cartoon comprises visual and verbal components, making the selection of communication means in the text particularly challenging. That defines the problem of our survey. The paper has investigated political cartoons published in the USA media. Making use of the content analysis method, we chose 174 dysphemisms and euphemisms, split into lexical-semantic classifications. As a consequence, euphemisms are utilized more commonly in political cartoon than dysphemisms, which stemmed from the genre specificity; hence, the ironic impact is attained by the contrast between the visual and verbal components.
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Seo, Eun-Young, and Sang-Jung Han. "A Study on the System of Cartoon Classification." Korean Journal of animation 14, no. 3 (September 30, 2018): 266–87. http://dx.doi.org/10.51467/asko.2018.09.14.3.266.

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Ota, Midori. "Classification of Cartoon Female Characters by Magazines and Roles." Proceedings of the Annual Convention of the Japanese Psychological Association 81 (September 20, 2017): 2B—012–2B—012. http://dx.doi.org/10.4992/pacjpa.81.0_2b-012.

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Camba, Maria Mendoza. "Aping the Filipino Image." Re:Locations - Journal of the Asia-Pacific World 3, no. 2 (June 21, 2020): 35–50. http://dx.doi.org/10.33137/relocations.v1i1.33393.

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Early American visual culture has played a substantial role in advancing American Imperialism in the early 1900s. Using publication as an instrument of expansionism, America’s distribution of visual images depicting its conquered nations, has resulted in consequences that have perpetually categorized its once-dominated territories as inferior. The Philippines reveal the consequences of this classification. Seized by the United States in 1899, the Philippines was repeatedly a subject of American print culture. Primarily, editorial cartoons were used to illustrate recurring images of Filipinos to justify its annexation. Employing illusive and sensational tropes, these cartoons were widely distributed through magazines and periodicals, informing the American population of debasing assumptions to characterize the Filipino individual. As a result, the Philippines gained false attributions and stereotypes brought upon by their erroneous portrayal in early American media. This research argues that the deceptive representation of the Philippines in early American visual culture, has aided in creating false Filipino stereotypes, hence, sustaining the nation in the periphery. Visual codings used in editorial cartoons repeatedly exemplified the Filipino character as incompetent and inferior. Filtration of Filipino representation is, likewise, apparent. By exaggerating damaging visual tropes that painted the Filipino individual as primitive and savage, and eliminating its progressive and modern characteristics, editorial cartoons helped reinforce the supposed ‘benevolent assimilation’ America used in defending its colonialism. Such reinforcement produced lasting consequences that not only perpetuated false Filipino stereotypes in the global platform, but also encouraged the Philippines’ inadvertent participation to cultural imperialism in present society.
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Pett, Emma. "‘Blood, guts and Bambi eyes’: Urotsukidoji and the Transcultural Reception and Regulation of Anime." Journal of British Cinema and Television 13, no. 3 (July 2016): 390–408. http://dx.doi.org/10.3366/jbctv.2016.0326.

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The regulation and reception of anime in Britain has, historically, been fraught with difficulty. In 1992, the British Board of Film Classification (BBFC) rejected the first instalment of Urotsukidoji, a controversial series of erotic anime, on the grounds of its sexually explicit content; this decision set a precedent for the way in which they would continue to censor anime for the following two decades. Nearly twenty years later, in 2009, Clause 62 of the Coroners and Justice Act, also colloquially known as the ‘Dangerous Cartoons Act’, made it a criminal offence to possess non-photographic pornographic images of children, including CGI, cartoons, manga images and drawings. Through an examination of the BBFC's archival materials on Urotsukidoji – Legend of the Overfiend, supplemented by references to a small number of newspaper articles published during this period, this article offers a range of insights into the historical context in which the current series of debates surrounding the ‘Dangerous Cartoons Act’ can be situated and assessed. These are used to consider the transcultural flow of genres across national borders, and the difficulties that a regulator from one culture encounters when dealing with controversial material originating from another, such as Japan, that has a substantially different set of social values and artistic conventions. Furthermore, this case highlights the important role played by distribution companies in shaping the production and evolution of genres within the transcultural marketplace.
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K, Jayasree, and Sumam Mary Idicula. "Enhanced Video Classification System Using a Block-Based Motion Vector." Information 11, no. 11 (October 24, 2020): 499. http://dx.doi.org/10.3390/info11110499.

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The main objective of this work was to design and implement a support vector machine-based classification system to classify video data into predefined classes. Video data has to be structured and indexed for any video classification methodology. Video structure analysis involves shot boundary detection and keyframe extraction. Shot boundary detection is performed using a two-pass block-based adaptive threshold method. The seek spread strategy is used for keyframe extraction. In most of the video classification methods, selection of features is important. The selected features contribute to the efficiency of the classification system. It is very hard to find out which combination of features is most effective. Feature selection makes relevance to the proposed system. Herein, a support vector machine-based classifier was considered for the classification of video clips. The performance of the proposed system considered six categories of video clips: cartoons, commercials, cricket, football, tennis, and news. When shot level features and keyframe features, along with motion vectors, were used, 86% correct classification was achieved, which was comparable with the existing methods. The research concentrated on feature extraction where combination of selected features was given to a classifier to get the best classification performance.
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Bittner, Thomas. "On the Integration of Regional Classification and Delineation Systems intoThe National Map." Cartographica: The International Journal for Geographic Information and Geovisualization 45, no. 2 (June 2010): 127–39. http://dx.doi.org/10.3138/carto.45.2.127.

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Vitali, Giuliano, Concetta Cardillo, Sergio Albertazzi, Marco Della Chiara, Guido Baldoni, Claudio Signorotti, Antonella Trisorio, and Maurizio Canavari. "Classification of Italian Farms in the FADN Database Combining Climate and Structural Information." Cartographica: The International Journal for Geographic Information and Geovisualization 47, no. 4 (December 2012): 228–36. http://dx.doi.org/10.3138/carto.47.4.1478.

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Chong Yu, Qinfu Qui, Yilu Zhao, and Xiong Chen. "Satellite Image Classification Using Morphological Component Analysis of Texture and Cartoon Layers." IEEE Geoscience and Remote Sensing Letters 10, no. 5 (September 2013): 1109–13. http://dx.doi.org/10.1109/lgrs.2012.2230612.

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Dissertations / Theses on the topic "Cartons Classification"

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Lewis, Hannah M. "Real Simple Lie Algebras: Cartan Subalgebras, Cayley Transforms, and Classification." DigitalCommons@USU, 2017. https://digitalcommons.usu.edu/etd/6900.

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The differential geometry software package in Maple has the necessary tools and commands to automate the classification process for complex simple Lie algebras. The purpose of this thesis is to write the programs to complete the classification for real simple Lie algebras. This classification is difficult because the Cartan subalgebras are not all conjugate as they are in the complex case. For the process of the real classification, one must first identify a maximally noncompact Cartan subalgebra. The process of the Cayley transform is used to find this specific Cartan subalgebra. This Cartan subalgebra is used to find the simple roots for the given real simple Lie algebra. With this information, we can then create a Satake diagram. Then we match our given algebra's Satake diagram to a Satake diagram of a known algebra. The programs explained in this thesis complete this process of classification.
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Miller, Marco. "Classification de cartes topographiques matricielles numérisées avec un scanneur : développement d'un algorithme." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0009/MQ26595.pdf.

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ANOUAR, FATIHA. "Modélisation probabilistes des cartes auto-organisées : Application en classification et en régression." Paris, CNAM, 1996. http://www.theses.fr/1996CNAM0256.

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La thèse tente de rapprocher les méthodes statistiques et les méthodes neuronales. L'algorithme de kohonen som est explique dans le cadre du formalisme des nuées dynamiques. Ensuite une modélisation probabiliste des cartes topologiques est proposée avec un algorithme d'apprentissage non supervisé qui maximise le critère du maximum de vraisemblance
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Miller, Marco. "Classification de cartes topographiques matricielles numérisées avec un scanneur : développement d'un algorithme." Sherbrooke : Université de Sherbrooke, 1997.

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Provost, Jean-Noël. "Classification bathymétrique en imagerie multispectrale SPOT." Brest, 2001. http://www.theses.fr/2001BRES2009.

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Ivanova, Miroslava. "An Application of Self-Organizing Maps in the Process of Classification." Thesis, Université Laval, 2008. http://www.theses.ulaval.ca/.

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POINCOT, PHILIPPE. "Classification et recherche d'information bibliographique par l'utilisation des cartes auto-organisatrices, applications en astronomie." Université Louis Pasteur (Strasbourg) (1971-2008), 1999. http://www.theses.fr/1999STR13215.

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La quantite toujours croissante des donnees textuelles necessite un effort constant pour la mise au point de methodes de stockage et de consultation, afin que la totalite des informations conservees reste accessible simplement. C'est sur ce dernier point qu'ont porte les travaux effectues au cours de cette these. Le cds, centre de donnees astronomiques de strasbourg, est un laboratoire dont la vocation est d'organiser, regrouper et diffuser les differents types d'information en astronomie. Outre les donnees observationnelles sur les objets astronomiques, une quantite importante de publications (plus de 100. 000) sont enregistrees au cds. C'est une partie de ces donnees bibliographiques que nous avons utilisees pour la mise au point de la carte bibliographique. Notre systeme de recherche d'information, la carte bibliographique, est fonde sur les cartes auto-organisatrices (self organizing maps, som) : des reseaux de neurones qui permettent une classification spatiale bi-dimensionnelle d'un ensemble de donnees (une sorte de cartographie). Appliquees a un ensemble d'articles, les som permettent une organisation des documents telle que des articles de caracteristiques voisines (de sujets voisins) sont classes dans des zones proches et les themes generaux apparaissent dans des regions bien definies. Apres avoir recherche les parametres optimaux pour l'apprentissage des som, nous avons developpe une interface de consultation qui permet de visualiser la repartition des documents et de localiser les zones relatives a certains themes (requetes par mots-cles).
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Gosselin, Stéphane. "Recherche de motifs fréquents dans une base de cartes combinatoires." Phd thesis, Université Claude Bernard - Lyon I, 2011. http://tel.archives-ouvertes.fr/tel-00838571.

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Une carte combinatoire est un modèle topologique qui permet de représenter les subdivisions de l'espace en cellules et les relations d'adjacences et d'incidences entre ces cellules en n dimensions. Cette structure de données est de plus en plus utilisée en traitement d'images, mais elle manque encore d'outils pour les analyser. Notre but est de définir de nouveaux outils pour les cartes combinatoires nD. Nous nous intéressons plus particulièrement à l'extraction de sous-cartes fréquentes dans une base de cartes. Nous proposons deux signatures qui sont également des formes canoniques de cartes combinatoires. Ces signatures ont chacune leurs avantages et leurs inconvénients. La première permet de décider de l'isomorphisme entre deux cartes en temps linéaire, en contrepartie le coût de stockage en mémoire est quadratique en la taille de la carte. La seconde signature a un coût de stockage en mémoire linéaire en la taille de la carte, cependant le temps de calcul de l'isomorphisme est quadratique. Elles sont utilisables à la fois pour des cartes connexes, non connexes, valuées ou non valuées. Ces signatures permettent de représenter une base de cartes combinatoires et de rechercher un élément de manière efficace. De plus, le temps de recherche ne dépend pas du nombre de cartes présent dans la base. Ensuite, nous formalisons le problème de recherche de sous-cartes fréquentes dans une base de cartes combinatoires nD. Nous implémentons deux algorithmes pour résoudre ce problème. Le premier algorithme extrait les sous-cartes fréquentes par une approche en largeur tandis que le second utilise une approche en profondeur. Nous comparons les performances de ces deux algorithmes sur des bases de cartes synthétiques. Enfin, nous proposons d'utiliser les motifs fréquents dans une application de classification d'images. Chaque image est décrite par une carte qui est transformée en un vecteur représentant le nombre d'occurrences des motifs fréquents. À partir de ces vecteurs, nous utilisons des techniques classiques de classification définies sur les espaces vectoriels. Nous proposons des expérimentations en classification supervisée et non supervisée sur deux bases d'images.
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Fournel, Arnaud. "Classification automatique de données IRMf : application à l'étude des réseaux de l'émotion." Thesis, Lyon 2, 2013. http://www.theses.fr/2013LYO20066.

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Depuis une quinzaine d'années, l'Imagerie par Résonance Magnétique fonctionnelle (IRMf) permet d'extraire de l'information sur le fonctionnement cérébral et particulièrement sur la localisation des processus cognitifs. L'information contenue par les acquisitions en IRMf est extraite à l'aide du modèle linéaire général et du processus d'inférence statistique. Bien que cette méthode dite « classique » ait permis de valider la plupart des modèles lésionnels de manière non invasive, elle souffre de certaines limites. Pour résoudre ce problème, différentes techniques d'analyse ont émergé et proposent une nouvelle façon d'interpréter les données de la neuroimagerie. Nous présentons deux nouvelles méthodes multivariées basées sur les cartes de Kohonen. Nos méthodes analysent les données IRMf avec le moins d'a priori possibles. En parallèle, nous tentons d'extraire de l'information sur les réseaux neuronaux impliqués dans les émotions. La première de ces méthodes s'intéresse à l'information de spécialisation fonctionnelle et la seconde à l'information de connectivité fonctionnelle. Nous présentons les résultats qui en découlent, puis chacune des méthodes est comparée à l'analyse dite classique en termes d'informations extraites. De plus, notre attention s'est focalisée sur la notion de valence émotionnelle et nous tentons d'établir l'existence d'un éventuel réseau partagé entre valence positive et valence négative. La constance de ce réseau est évaluée à la fois entre modalités perceptives et entre catégories de stimuli. Chacune des méthodes proposées permet de corroborer l'information recueillie par la méthode classique, en apportant de nouvelles informations sur les processus étudiés. Du point de vue des émotions, notre travail met en lumière un partage du réseau cérébral pour les va-lences négative et positive ainsi qu'une constance de cette information dans certaines régions cérébrales entre modalités perceptives et entre catégories
In the last fifteen years, functional magnetic resonance imaging (fMRI) have been used to extract information about cognitive processes location. The information contained in fMRI acquisitions is usually extracted using the general linear model coupled to the statistical inference process. Although this classical method has validated noninvasively most of the lesional models, it suffers from some limitations. To solve this problem, various analysis techniques have emerged and propose a new way of interpreting neuroimaging data. In this thesis, we present two multivariate methods to analyze fMRI data with the least possible a priori. In parallel, we are trying to extract information about brain emotion processing. The first method focuses on the brain functional specialization and the second method on the brain functional connectivity. After results presentation, each method is compared to the so-called classical analysis in terms of extracted information. In addition, emphasis was put on the concept of emotional valence. We try to establish the existence of a possible split between positive and negative valence networks. The consistency of the network is evaluated across both perceptual modalities and stimuli categories. Each of the proposed methods are as accurate as the conventional method and provide new highlights on the studied processes. From the perspective of emotions, our work highlights a shared brain network for positive and negative valences and a consistency of this information in some brain regions across both perceptual modalities and stimuli categories
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Leblond, Isabelle. "Recalage à long terme d'images sonar par mise en correspondance de cartes de classification automatique des fonds." Brest, 2006. http://www.theses.fr/2006BRES2004.

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Ce travail montre la possibilité d'utiliser des images issues d'un sonar latéral pour se repérer sur le fond marin. Nous prenons l'hypothèse que l'on évolue dans un environnement précédemment cartographié et par rapport auquel on va se repérer. La zone de recherche est de la centaine de mètre ou plus et les images peuvent avoir été acquises sous des caps différents. Nous décidons d'opérer en deux temps : extraction de données symboliques nommés "amers" puis appariements. Préalablement, nous présentons les différentes données. Une attention particulière est portée sur la physique des fonds marins, afin d'appréhender les divers types d'amers utilisables. Nous présentons également la problématique du recalage sonar, en terme de difficultés et de solutions proposées pour les résoudre. Une deuxième partie est consacrée au prétraitement des données : correction de la TVG par une normalisation en fonction de l'angle et de despecklelisation par un seuillage de décompositions en ondelettes. L'étape d'extraction des amers est réalisée par une classification/segmentation des données. Les amers sont constitués par des zones contenant les diverses classes de fonds marins et leurs frontières. Nous montrons l'intérêt d'utiliser des paramètres classifiant issus d'une décomposition par ondelettes de Gabor et de réaliser la classification par le plus proche voisin en plusieurs étapes. La dernière phase est celle du recalage, effectuée en deux niveaux principaux. Le premier est un recalage symbolique, où les résultats de la classification sont appariés de manière de plus en plus fine. Le deuxième est un recalage quantitatif, où des données issues directement des images sonar sont associées
This study deals with sea-floor localization problem by using sidescan sonar images. Here, we assume that the considered seafloor areas have previously been mapped. The size of each considered seafloor area is over a hundred square metres and the images can be recorded with different courses. A direct matching of theses images is obviously unacceptable. Therefore, we consider a two step method : extraction of symbolic data named “landmarks” and a matching process. Before these two steps, we begin by presenting the different data. We particularly focus on the physics of the seafloor, in order to grasp the different types of usable landmarks. We present also the problematic of sonar registration, both in terms of difficulties and proposed solutions to solve them. A second part is devoted to the preprocessing of the data : correction of the TVG (Time Varying Gain) by a normalization of the images according to the grazing angle and the despecklelisation by thresholding on wavelet decomposition. Concerning the landmark extraction, we apply a segmentation/classification of the data. Classifying parameters extracted from a Gabor wavelet decomposition are used to realize a classification by the nearest neighbour in several stages. The obtained landmarks contain different kinds of seafloor and their boundaries. The registration is achieved using mainly two steps. The first step is a symbolic registration, where the classification results are matched more an more accurately. The second one is a quantitative registration, where data, extracted directly from images, are matched
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Books on the topic "Cartons Classification"

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Division, Statistics Canada Standards. Standard geographical classification, SGC 2006 : volume II, reference maps =: Classification géographique type, CGT 2006 : volume II, cartes de référence. Ottawa, Ont: Statistics Canada = Statistique Canada, 2007.

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Division, Statistics Canada Standards. Standard geographical classification, SGC 1996 : volume II, reference maps =: Classification géographique type, CGT 1996 : volume II, cartes de référence. Ottawa, Ont: Statistics Canada = Statistique Canada, 1997.

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Division, Statistics Canada Standards. Standard geographical classification, SGC 1991 : volume II, reference maps =: Classification géographique type, CGT 1991 : volume II, cartes de référence. Ottawa, Ont: Statistics Canada = Statistique Canada, 1992.

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Division, Statistics Canada Standards. Standard geographical classification, SGC 1986 : volume II, the reference maps =: Classification géographique type, CGT 1986 : volume II, les cartes de référence. Ottawa, Ont: Statistics Canada = Statistique Canada, 1987.

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Division, Statistics Canada Standards. Standard geographical classification, SGC 2001 : volume II, reference maps =: Classification géographique type, CGT 2001 : volume II, cartes de référence. Ottawa, Ont: Statistics Canada = Statistique Canada, 2002.

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Létourneau, Guy. Marais, marécages et herbiers le long du Saint-Laurent. Montréal, Qué: Centre Saint-Laurent, Conservation de l'environnement, Environnement Canada, 1996.

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Létourneau, Guy. Cartographie des marais, marécages et herbiers aquatiques le long du Saint-Laurent par télédétection aéroportée. Montréal, Qué: Centre Saint-Laurent, Conservation de l'environnement, Environnement Canada, 1996.

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Wood, Alberta Auringer. Index to the Library of Congress "G" schedule: A map and atlas classification aid. [Chicago, Ill.]: Map and Geography Round Table of the American Library Association, 1996.

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Style dictionary: A visualization, exploration, transformation, mutation, documentation, investigation, classification, free-association, interpretation and exact quotations of fashion terms and a collection of past works. New York: Abbeville Press, 1996.

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Division, Statistics Canada Standards, ed. Standard geographical classification, SGC 1996 =: Classification géographique type, CGT 1996. 6th ed. Ottawa: Statistics Canada, Standards Division, 1997.

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Book chapters on the topic "Cartons Classification"

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Han, Eunjung, Anjin Park, and Keechul Jung. "Automatic Cartoon Image Re-authoring Using SOFM." In Multimedia Content Representation, Classification and Security, 403–9. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11848035_54.

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Adams, Jeffrey, Dan Barbasch, and David A. Vogan. "Langlands parameters and Cartan subgroups." In The Langlands Classification and Irreducible Characters for Reductive Groups, 139–46. Boston, MA: Birkhäuser Boston, 1992. http://dx.doi.org/10.1007/978-1-4612-0383-4_12.

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Prajna, S., N. Vinay Kumar, and D. S. Guru. "Classification of Gender in Celebrity Cartoon Images." In Communications in Computer and Information Science, 525–37. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11346-8_45.

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Adams, Jeffrey, Dan Barbasch, and David A. Vogan. "Pairings between Cartan subgroups and the proof of Theorem 10.4." In The Langlands Classification and Irreducible Characters for Reductive Groups, 147–56. Boston, MA: Birkhäuser Boston, 1992. http://dx.doi.org/10.1007/978-1-4612-0383-4_13.

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Kim, Junghyun, Sung Wook Baik, Kangseok Kim, Changduk Jung, and Wonil Kim. "A Cartoon Image Classification System Using MPEG-7 Descriptors." In Artificial Intelligence and Computational Intelligence, 368–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23887-1_46.

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Vershik, A. M. "On classification of ℤ-graded Lie algebras of constant growth which have algebra ℂ[h] as Cartan subalgebra." In Lecture Notes in Mathematics, 395. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/bfb0101210.

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"Classification of Cross-Border Cartels." In Fighting Cross-Border Cartels. Hart Publishing, 2019. http://dx.doi.org/10.5040/9781509933716.ch-002.

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"CLASSIFICATION OF GENERALIZED CARTAN MATRICES." In Introduction to Kac-Moody Algebras, 24–51. WORLD SCIENTIFIC, 1991. http://dx.doi.org/10.1142/9789814434485_0002.

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Bincer, Adam M. "Cartan classification of semisimple algebras." In Lie Groups and Lie Algebras, 139–50. Oxford University Press, 2012. http://dx.doi.org/10.1093/acprof:oso/9780199662920.003.0017.

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"A Classification of Generalized Cartan Matrices." In Infinite-Dimensional Lie Algebras, 47–58. Cambridge University Press, 1990. http://dx.doi.org/10.1017/cbo9780511626234.005.

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Conference papers on the topic "Cartons Classification"

1

Chen, Fen, Maosheng Lai, and Zhining Ye. "Detecting Cartoons: Automatic Video Genre Classification." In 2010 International Conference on Management and Service Science (MASS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icmss.2010.5576551.

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Patki, Siddharth Nitin, Madhuri Joshi, and Abhishek Ninad Kulkarni. "Dot matrix text recognition for industrial carton classification." In 2015 International Conference on Industrial Instrumentation and Control (ICIC). IEEE, 2015. http://dx.doi.org/10.1109/iic.2015.7150847.

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Xiangbin, Zhu. "Cartoon Image Classification Based on Wavelet Transform." In 2009 Asia-Pacific Conference on Information Processing, APCIP. IEEE, 2009. http://dx.doi.org/10.1109/apcip.2009.156.

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Ianeva, T. I., A. P. de Vries, and H. Rohrig. "Detecting cartoons: a case study in automatic video-genre classification." In 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698). IEEE, 2003. http://dx.doi.org/10.1109/icme.2003.1220951.

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Glasberg, R., K. Elazouzi, and T. Sikora. "Video-genre-classification: recognizing cartoons in real-time using visual-descriptors and a multilayer-percetpron." In The 7th International Conference on Advanced Communication Technology. IEEE, 2005. http://dx.doi.org/10.1109/icact.2005.246155.

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Shinde, Sandhya, Siddhant Kulkarni, Deepti Bhatia, and Sonali Sabale. "Content based cartoon video classification using Dynamic Thepade's Ternary Block Truncation Coding (DTTBTC)." In 2015 International Conference on Communication, Information & Computing Technology (ICCICT). IEEE, 2015. http://dx.doi.org/10.1109/iccict.2015.7045741.

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AlDahoul, Nouar, Hezerul Abdul Karim, Abdulaziz Saleh Ba Wazir, Mhd Adel Momo, and Mohd Haris Lye Abdullah. "A Comparative Study of In-Domain vs Cross-Domain Learning for Porn Cartoon Classification." In 2021 IEEE International Conference on Signal and Image Processing Applications (ICSIPA). IEEE, 2021. http://dx.doi.org/10.1109/icsipa52582.2021.9576769.

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Strazzullo, F. "Darboux integrable hyperbolic PDE in the plane of generic Type: a classification by means of Cartan Tensor and Maple 11®." In Proceedings of the International Conference on SPT 2007. WORLD SCIENTIFIC, 2007. http://dx.doi.org/10.1142/9789812776174_0048.

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