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Artykuły w czasopismach na temat "Jigsaw puzzle"
Verdine, Brian N., Georgene L. Troseth, Robert M. Hodapp i Elisabeth M. Dykens. "Strategies and Correlates of Jigsaw Puzzle and Visuospatial Performance by Persons With Prader-Willi Syndrome". American Journal on Mental Retardation 113, nr 5 (1.09.2008): 343–55. http://dx.doi.org/10.1352/2008.113:342-355.
Pełny tekst źródłaForeman, Robert Long. "Jigsaw Puzzle". River Teeth: A Journal of Nonfiction Narrative 17, nr 1 (2015): 25–27. http://dx.doi.org/10.1353/rvt.2015.0027.
Pełny tekst źródłaBrandler, Sondra. "The Jigsaw Puzzle". Social Work With Groups 11, nr 1-2 (28.10.1988): 99–109. http://dx.doi.org/10.1300/j009v11n01_08.
Pełny tekst źródłaZhang, Xuewei, i XiaoJie Liu. "JAVA Jigsaw Puzzle". International Journal of Advanced Pervasive and Ubiquitous Computing 9, nr 3 (lipiec 2017): 1–14. http://dx.doi.org/10.4018/ijapuc.2017070101.
Pełny tekst źródłaSanches, MariaM, AnaI Pinto, PauloL Filipe i JoaoM Silva. "“Jigsaw puzzle” advancement flap". Journal of Cutaneous and Aesthetic Surgery 11, nr 4 (2018): 248. http://dx.doi.org/10.4103/jcas.jcas_38_18.
Pełny tekst źródłaCollins, James P. "Studying Nature's Jigsaw Puzzle". Ecology 87, nr 7 (lipiec 2006): 1867–68. http://dx.doi.org/10.1890/0012-9658(2006)87[1867:snjp]2.0.co;2.
Pełny tekst źródłaVerkuyten, Maykel, Borja Martinovic i Anouk Smeekes. "The Multicultural Jigsaw Puzzle". Personality and Social Psychology Bulletin 40, nr 11 (9.09.2014): 1480–93. http://dx.doi.org/10.1177/0146167214549324.
Pełny tekst źródłaCadet, Peggy. "Solving the Jigsaw Puzzle". Narrative Inquiry in Bioethics 5, nr 2 (2015): E1—E3. http://dx.doi.org/10.1353/nib.2015.0043.
Pełny tekst źródłaShephard, G. C. "A jigsaw problem". Mathematical Gazette 93, nr 526 (marzec 2009): 58–65. http://dx.doi.org/10.1017/s0025557200184189.
Pełny tekst źródłaKusnanto, Kusnanto, Eska Dwi Prajayanti i Harmayetty Harmayetty. "JIGSAW PUZZLE IMPROVE FINE MOTOR ABILITIES OF UPPER EXTREMITIES IN POST-STROKE ISCHEMIC CLIENTS". Jurnal Ners 12, nr 1 (5.06.2017): 142. http://dx.doi.org/10.20473/jn.v12i1.2790.
Pełny tekst źródłaRozprawy doktorskie na temat "Jigsaw puzzle"
Noursobhi, Soroush. "Puzzle Up : Android Jigsaw Puzzle Game". Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13460.
Pełny tekst źródłaTybon, Robert, i n/a. "Generating Solutions to the Jigsaw Puzzle Problem". Griffith University. School of Management, 2004. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20041101.085937.
Pełny tekst źródłaTybon, Robert. "Generating Solutions to the Jigsaw Puzzle Problem". Thesis, Griffith University, 2004. http://hdl.handle.net/10072/366062.
Pełny tekst źródłaThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Management
Faculty of Commerce and Management
Full Text
O'Brien, Rachel. "Putting together the jigsaw puzzle : women's sense of self following an episode of postpartum psychosis". Thesis, University of Surrey, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.540729.
Pełny tekst źródłaSalter, B. W. Jim. "A jigsaw puzzle : assessing the English vocabulary level of junior secondary students in Hong Kong /". Thesis, Hong Kong : University of Hong Kong, 2002. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25262750.
Pełny tekst źródłaYang, Xingwei. "Shape Based Object Detection and Recognition in Silhouettes and Real Images". Diss., Temple University Libraries, 2011. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/111091.
Pełny tekst źródłaPh.D.
Shape is very essential for detecting and recognizing objects. It is robust to illumination, color changes. Human can recognize objects just based on shapes, thus shape based object detection and recognition methods have been popular in many years. Due to problem of segmentation, some researchers have worked on silhouettes instead of real images. The main problem in this area is object recognition and the difficulty is to handle shapes articulation and distortion. Previous methods mainly focus on one to one shape similarity measurement, which ignores context information between shapes. Instead, we utilize graph-transduction methods to reveal the intrinsic relation between shapes on 'shape manifold'. Our methods consider the context information in the dataset, which improves the performance a lot. To better describe the manifold structure, we also propose a novel method to add synthetic data points for densifying data manifold. The experimental results have shown the advantage of the algorithm. Moreover, a novel diffusion process on Tensor Product Graph is carried out for learning better affinities between data. This is also used for shape retrieval, which reaches the best ever results on MPEG-7 dataset. As shapes are important and helpful for object detection and recognition in real images, a lot of methods have used shapes to detect and recognize objects. There are two important parts for shape based methods, model construction and object detection, recognition. Most of the current methods are based on hand selected models, which is helpful but not extendable. To solve this problem, we propose to construct model by shape matching between some silhouettes and one hand decomposed silhouette. This weakly supervised method can be used not only learn the models in one object class, but also transfer the structure knowledge to other classes, which has the similar structure with the hand decomposed silhouette. The other problem is detecting and recognizing objects. A lot of methods search the images by sliding window to detect objects, which can find the global solution but with high complexity. Instead, we use sampling methods to reduce the complexity. The method we utilized is particle filter, which is popular in robot mapping and localization. We modified the standard particle filter to make it suitable for static observations and it is very helpful for object detection. Moreover, The usage of particle filter is extended for solving the jigsaw puzzle problem, where puzzle pieces are square image patches. The proposed method is able to reach much better results than the method with Loopy Belief Propagation.
Temple University--Theses
Bárnet, Lukáš. "Spojování nepřekrývajících se obrazů". Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219685.
Pełny tekst źródłaStanczak, Arnaud. "La méthode de la "classe puzzle" est-elle efficace pour améliorer l'apprentissage ?" Thesis, Université Clermont Auvergne (2017-2020), 2020. http://www.theses.fr/2020CLFAL013.
Pełny tekst źródłaThe objective of this thesis is to test the effect of the Jigsaw classroom on learning. The Jigsaw classroom is a cooperative technique created by Aronson and his colleagues in the 1970s to promote the inclusion of ethnic minorities (e.g., Mexican and African-American) in desegregated schools. Although this method is presented by its developers as an effective tool for improving student learning, empirical evidence is lacking. According to the social interdependence theory, the structure of interactions between individuals determine the effects of cooperative learning (Deutsch, 1949; Johnson & Johnson, 1989). In Jigsaw, this structure comes from the distribution of complementary resources: each individual owns a “jigsaw piece”, namely a piece of information which requires the coordination of efforts among members to answer a problematic. With the help of other group members, promotive interactions (e.g., helping behaviors, explanations and questioning) should emerge which results in a better learning for the members. In this thesis, Jigsaw's effectiveness will be evaluated through a review of the scientific literature, as well as a meta-analysis of recent research and a set of experimental studies conducted among french sixth graders. To our knowledge, the experimental study of Jigsaw’s effects on learning in student populations is almost non-existent in the scientific literature and even though some research testing these effects is compiled in meta-analyses (Kyndt et al., 2013), there are no meta-analyses to date that specifficaly adress the question of Jigsaw's effects on learning. Hence, the research presented in this manuscript will attempt to evaluate the effectiveness of the Jigsaw method on learning. In Chapter 1, we present “social interdependence theory” (Johnson & Johnson, 1989, 2002, 2005), several definitions and ways of structuring cooperation between students, as well as a review of their effects on learning. Chapter 2 examines one of these cooperative technique in detail: Jigsaw (Aronson et al., 1978; Aronson & Patnoe, 2011). We describe the evolution of empirical studies conducted from its conception to the present day. Chapter 3 points out some of the limitations of this literature, particularly in terms of statistical power, and the impacts it may have on the estimation of Jigsaw's effectiveness on learning. We also develop our main hypothesis, its operationalization and the statistical tools and procedures we use in the empirical chapters: equivalence tests (Lakens, 2017), smallest effect size of interest (Hattie, 2009) and meta-analyses (Borenstein et al., 2010; Goh et al., 2016). Chapter 4 presents the results of a meta-analysis of Jigsaw's effects on learning, which synthesized empirical articles published between 2000 and 2020. We test several moderators (e.g., grade level, discipline, type of Jigsaw, location of research) in order to quantify the dispersion of Jigsaw effects and to assess heterogeneity between studies. Chapter 5 compiles five studies conducted among french sixth graders in which we test the effectiveness of Jigsaw on learning, compared to an “individual” (studies 1 and 2) or a “teaching as usual’ condition (studies 3A, 3B and 3C). The results of this chapter are interpreted with regard to the meta-analysis and the debates related to the structure of Jigsaw. In the last chapter of this manuscript, we summarize the main results developed trough the theoretical and empirical chapters. The contributions and limitations of our research are developed, as well as theoretical and practical perspectives to overcome them in view of future research
Sullivan-Vance, Karen. "A Million Piece Jigsaw Puzzle| Transition Experiences of Foster Youth Accessing Higher Education through Community College". Thesis, Portland State University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10825438.
Pełny tekst źródłaA college education offers people social and economic benefits, yet youth from foster care backgrounds are less likely than their peers to attain a college education, which places this already vulnerable population at higher risk for a lifetime of living on the margins of society. Foster alumni face multiple obstacles to accessing and persisting in higher education. To facilitate and support the success of this frequently overlooked population, professionals in higher education need to understand these obstacles. Little is known about the experiences of youth with foster care backgrounds as they transition into and through higher education. Although existing research has reported the academic, health, and social effects of having been in foster care, little is known about why foster alumni do not persist in higher education. This study used student-development theory, specifically Schlossberg’s transition theory, Tinto’s theory of student departure, and Bourdieu’s work on social and cultural capital to provide a conceptual framework through which to view the lived experiences of youth with foster care backgrounds. Because, for many youths with foster care backgrounds, the pathway to the baccalaureate degree is through a community college, this study examined and explored the transition experiences of foster alumni about to begin or currently enrolled at an Oregon Community College. The study explored the factors that challenge and facilitate foster alumni persistence towards the attainment of a college degree.
Sullivan-Vance, Karen A. "A Million Piece Jigsaw Puzzle: Transition Experiences of Foster Youth Accessing Higher Education through Community College". PDXScholar, 2018. https://pdxscholar.library.pdx.edu/open_access_etds/4413.
Pełny tekst źródłaKsiążki na temat "Jigsaw puzzle"
Muri, Jenn. Jigsaw puzzle. Seattle, WA: Peanut Butter Pub., 1999.
Znajdź pełny tekst źródłaBlackstone, Alice. Alice's jigsaw puzzle. Omaha, Neb. (6715 Corby, Omaha 68104): A. Blackstone, 1998.
Znajdź pełny tekst źródłaHunt, Roderick. The jigsaw puzzle. (Oxford): Oxford University Press, 1993.
Znajdź pełny tekst źródłaAngove, Wendy. The jigsaw puzzle tree. [Great Britain]: Angove, 2003.
Znajdź pełny tekst źródłaSplash!: A jigsaw puzzle book. Waipahu, Hawaiʻi: Island Heritage, 2008.
Znajdź pełny tekst źródłaMcCann, Chris. Master pieces: The art history of jigsaw puzzles. Portland, Or: Collectors Press, 1998.
Znajdź pełny tekst źródłaJones, Jan. Jigsaw Puzzle. Start Publishing LLC, 2013.
Znajdź pełny tekst źródłaKennedy, Neil. Jigsaw Puzzle. FLP Media Group, 2021.
Znajdź pełny tekst źródłaSousa, Chantel de. Office Jigsaw Puzzle: 500 Piece Jigsaw Puzzle. Smith Street Books, 2020.
Znajdź pełny tekst źródłaSpartels, Stephanie. Legendary Lizzo Jigsaw Puzzle: 500 Piece Jigsaw Puzzle. Smith Street Books, 2022.
Znajdź pełny tekst źródłaCzęści książek na temat "Jigsaw puzzle"
Pritchard, Jacki. "The jigsaw puzzle". W Dealing with Different Types of Losses Using Hypnotherapy Scripts, 169–71. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781032245706-37.
Pełny tekst źródłaCastro-Manzano, José Martín. "Syllogistic with Jigsaw Puzzle Diagrams". W Diagrammatic Representation and Inference, 657–71. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91376-6_58.
Pełny tekst źródłaIssar, Arie S., i Mattanyah Zohar. "Constructing the Jigsaw Puzzle of Palaeo-Climates". W Climate Change — Environment and Civilization in the Middle East, 13–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-06264-7_2.
Pełny tekst źródłaMichaux, Bernard. "The final piece of the jigsaw puzzle". W Biogeology: Evolution in a Changing Landscape, 224–42. Boca Raton : CRC Press, [2020] | Series: CRC biogeography series: CRC Press, 2019. http://dx.doi.org/10.1201/9780429053443-9.
Pełny tekst źródłaCozier, Yvette C., Elizabeth V. Arkema, Juan V. Rodriguez, Jeffrey S. Berman i Praveen Govender. "Epidemiology of sarcoidosis: solving the jigsaw puzzle". W Sarcoidosis, 8–24. Sheffield, United Kingdom: European Respiratory Society, 2022. http://dx.doi.org/10.1183/2312508x.10031120.
Pełny tekst źródłaAlexander, Ian. "Keynote Talk Piecing Together the Requirements Jigsaw-Puzzle". W Requirements Engineering: Foundation for Software Quality, 1. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14192-8_1.
Pełny tekst źródłaMartin-Brualla, Ricardo, Yanling He, Bryan C. Russell i Steven M. Seitz. "The 3D Jigsaw Puzzle: Mapping Large Indoor Spaces". W Computer Vision – ECCV 2014, 1–16. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10578-9_1.
Pełny tekst źródłaKhoroshiltseva, Marina, Ben Vardi, Alessandro Torcinovich, Arianna Traviglia, Ohad Ben-Shahar i Marcello Pelillo. "Jigsaw Puzzle Solving as a Consistent Labeling Problem". W Computer Analysis of Images and Patterns, 392–402. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89131-2_36.
Pełny tekst źródłaHammoudeh, Zayd, i Chris Pollett. "Clustering-Based, Fully Automated Mixed-Bag Jigsaw Puzzle Solving". W Computer Analysis of Images and Patterns, 205–17. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64698-5_18.
Pełny tekst źródłaHolmes, Courtney M. "A Jigsaw Puzzle as a Metaphor for Crisis Response". W Metaphors in Counselor Education and Supervision, 45–49. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003196266-6.
Pełny tekst źródłaStreszczenia konferencji na temat "Jigsaw puzzle"
Tepichin, E. "Jigsaw puzzle holography: image pseudocoloring". W 16th Congress of the International Commission for Optics: Optics as a Key to High Technology. SPIE, 1993. http://dx.doi.org/10.1117/12.2308657.
Pełny tekst źródłaKersten, Martin L. "The Database Architecture Jigsaw Puzzle". W 2008 IEEE 24th International Conference on Data Engineering (ICDE 2008). IEEE, 2008. http://dx.doi.org/10.1109/icde.2008.4497404.
Pełny tekst źródłaPinto-Albuquerque, Maria, i Awais Rashid. "Tackling the requirements jigsaw puzzle". W 2014 IEEE 22nd International Requirements Engineering Conference (RE). IEEE, 2014. http://dx.doi.org/10.1109/re.2014.6912265.
Pełny tekst źródłaShih, Huang-Chia, i Chien-Liang Lu. "Divide-and-conquer Jigsaw Puzzle Solving". W 2018 IEEE Visual Communications and Image Processing (VCIP). IEEE, 2018. http://dx.doi.org/10.1109/vcip.2018.8698731.
Pełny tekst źródłaBoglione, M. "The jigsaw puzzle of scalar mesons". W QUARK CONFINEMENT AND THE HADRON SPECTRUM VI: 6th Conference on Quark Confinement and the Hadron Spectrum - QCHS 2004. AIP, 2005. http://dx.doi.org/10.1063/1.1920979.
Pełny tekst źródłaCho, Taeg Sang, Shai Avidan i William T. Freeman. "A probabilistic image jigsaw puzzle solver". W 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2010. http://dx.doi.org/10.1109/cvpr.2010.5540212.
Pełny tekst źródłaCao, Dai, Lifang Chen i Yuan Liu. "Solving jigsaw puzzle with symbol matrixes". W 2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS). IEEE, 2016. http://dx.doi.org/10.1109/icis.2016.7550797.
Pełny tekst źródłaShaoze Lei i Changshui Zhang. "Solve JIGSAW puzzle problems with Co-Normalization". W 2011 17th International Conference on Digital Signal Processing (DSP). IEEE, 2011. http://dx.doi.org/10.1109/icdsp.2011.6004872.
Pełny tekst źródłaMcGill-Smith, Sophie, i Richard Green. "Jigsaw Puzzle Solver to Locate Piece Position". W 2019 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE, 2019. http://dx.doi.org/10.1109/ivcnz48456.2019.8961019.
Pełny tekst źródłaSivamuni, Kalaimagal, i Sujoy Bhattacharya. "Assembling pieces of the MOOCs jigsaw puzzle". W 2013 IEEE International Conference in MOOC, Innovation and Technology in Education (MITE). IEEE, 2013. http://dx.doi.org/10.1109/mite.2013.6756375.
Pełny tekst źródłaRaporty organizacyjne na temat "Jigsaw puzzle"
Sullivan-Vance, Karen. A Million Piece Jigsaw Puzzle: Transition Experiences of Foster Youth Accessing Higher Education through Community College. Portland State University Library, styczeń 2000. http://dx.doi.org/10.15760/etd.6310.
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