Relevant bibliographies by topics / Cross-modal comparison

Academic literature on the topic 'Cross-modal comparison'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Cross-modal comparison"

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Ljungberg, Jessica K., and Fabrice B. R. Parmentier. "Cross-Modal Distraction by Deviance." Experimental Psychology 59, no. 6 (January 1, 2012): 355–63. http://dx.doi.org/10.1027/1618-3169/a000164.

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Unexpected task-irrelevant changes in the auditory or visual sensory channels have been shown to capture attention in an ineluctable manner and distract participants away from ongoing auditory or visual categorization tasks. We extend the study of this phenomenon by reporting the first within-participant comparison of deviance distraction in the tactile and auditory modalities. Using vibro-tactile-visual and auditory-visual cross-modal oddball tasks, we found that unexpected changes in the tactile and auditory modalities produced a number of functional similarities: A negative impact of distracter deviance on performance in the ongoing visual task, distraction on the subsequent trial (post-deviance distraction), and a similar decrease – but not the disappearance – of these effects across blocks. Despite these functional similarities, deviance distraction only correlated between the auditory and tactile modalities for the accuracy-based measure of deviance distraction and not for response latencies. Post-deviance distraction showed no correlation between modalities. Overall, the results suggest that behavioral deviance distraction may be underpinned by both modality-specific and multimodal mechanisms, while post-deviance distraction may predominantly relate to modality-specific processes.
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Ueda, Yoshiyuki, and Jun Saiki. "Characteristics of Eye Movements in 3-D Object Learning: Comparison between Within-Modal and Cross-Modal Object Recognition." Perception 41, no. 11 (January 1, 2012): 1289–98. http://dx.doi.org/10.1068/p7257.

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Recent studies have indicated that the object representation acquired during visual learning depends on the encoding modality during the test phase. However, the nature of the differences between within-modal learning (eg visual learning-visual recognition) and cross-modal learning (eg visual learning – haptic recognition) remains unknown. To address this issue, we utilised eye movement data and investigated object learning strategies during the learning phase of a cross-modal object recognition experiment. Observers informed of the test modality studied an unfamiliar visually presented 3-D object. Quantitative analyses showed that recognition performance was consistent regardless of rotation in the cross-modal condition, but was reduced when objects were rotated in the within-modal condition. In addition, eye movements during learning significantly differed between within-modal and cross-modal learning. Fixations were more diffused for cross-modal learning than in within-modal learning. Moreover, over the course of the trial, fixation durations became longer in cross-modal learning than in within-modal learning. These results suggest that the object learning strategies employed during the learning phase differ according to the modality of the test phase, and that this difference leads to different recognition performances.
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Reid, Andrew T., John Lewis, Gleb Bezgin, Budhachandra Khundrakpam, Simon B. Eickhoff, Anthony R. McIntosh, Pierre Bellec, and Alan C. Evans. "A cross-modal, cross-species comparison of connectivity measures in the primate brain." NeuroImage 125 (January 2016): 311–31. http://dx.doi.org/10.1016/j.neuroimage.2015.10.057.

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Reid, Andrew T., Felix Hoffstaedter, Gaolang Gong, Angela R. Laird, Peter Fox, Alan C. Evans, Katrin Amunts, and Simon B. Eickhoff. "A seed-based cross-modal comparison of brain connectivity measures." Brain Structure and Function 222, no. 3 (July 2, 2016): 1131–51. http://dx.doi.org/10.1007/s00429-016-1264-3.

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Zeshan, Ulrike, and Nick Palfreyman. "Comparability of signed and spoken languages: Absolute and relative modality effects in cross-modal typology." Linguistic Typology 24, no. 3 (October 25, 2020): 527–62. http://dx.doi.org/10.1515/lingty-2020-2059.

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AbstractThis article sets out a conceptual framework and typology of modality effects in the comparison of signed and spoken languages. This is essential for a theory of cross-modal typology. We distinguish between relative modality effects, where a linguistic structure is markedly more common in one modality than in the other, and absolute modality effects, where a structure does not occur in one of the modalities at all. Using examples from a wide variety of sign languages, we discuss examples at the levels of phonology, morphology (including numerals, negation, and aspect) and semantics. At the phonological level, the issue of iconically motivated sub-lexical components in signs, and parallels with sound symbolism in spoken languages, is particularly pertinent. Sensory perception metaphors serve as an example for semantic comparison across modalities. Advocating an inductive approach to cross-modal comparison, we discuss analytical challenges in defining what is comparable across the signed and spoken modalities, and in carrying out such comparisons in a rigorous and empirically substantiated way.
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He, Chao, Dalin Wang, Zefu Tan, Liming Xu, and Nina Dai. "Cross-Modal Discrimination Hashing Retrieval Using Variable Length." Security and Communication Networks 2022 (September 9, 2022): 1–12. http://dx.doi.org/10.1155/2022/9638683.

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Fast cross-modal retrieval technology based on hash coding has become a hot topic for the rich multimodal data (text, image, audio, etc.), especially security and privacy challenges in the Internet of Things and mobile edge computing. However, most methods based on hash coding are only mapped to the common hash coding space, and it relaxes the two value constraints of hash coding. Therefore, the learning of the multimodal hash coding may not be sufficient and effective to express the original multimodal data and cause the hash encoding category to be less discriminatory. For the sake of solving these problems, this paper proposes a method of mapping each modal data to the optimal length of hash coding space, respectively, and then the hash encoding of each modal data is solved by the discrete cross-modal hash algorithm of two value constraints. Finally, the similarity of multimodal data is compared in the potential space. The experimental results of the cross-model retrieval based on variable hash coding are better than that of the relative comparison methods in the WIKI data set, NUS-WIDE data set, as well as MIRFlickr data set, and the method we proposed is proved to be feasible and effective.
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MILLER, A. KATE. "Facilitating the task for second language processing research: A comparison of two testing paradigms." Applied Psycholinguistics 36, no. 3 (July 8, 2013): 613–37. http://dx.doi.org/10.1017/s0142716413000362.

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ABSTRACTThis study considers the effects of experimental task demands in research on second language sentence processing. Advanced learners and native speakers of French were presented with the same experimental sentences in two different tasks designed to probe for evidence of trace reactivation during processing: cross-modal priming (Nicol & Swinney, 1989) and probe classification during reading (Dekydtspotter, Miller, Schaefer, Chang, & Kim, 2010). Although the second language learners produced nontargetlike results on the cross-modal priming task, the probe classification during reading task revealed results suggestive of trace reactivation, which point to detailed structural representations during online sentence processing. The implications for current theories of second language sentence processing and for future research in this domain are discussed.
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Li, Xiang-Dong, and Barbara Romanowicz. "Comparison of global waveform inversions with and without considering cross-branch modal coupling." Geophysical Journal International 121, no. 3 (June 1995): 695–709. http://dx.doi.org/10.1111/j.1365-246x.1995.tb06432.x.

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Petrosino, Linda, Donald Fucci, Daniel Harris, and Elizabeth Randolph-Tyler. "Lingual Vibrotactile/Auditory Magnitude Estimation and Cross-Modal Matching: Comparison of Suprathreshold Responses in Men and Women." Perceptual and Motor Skills 67, no. 1 (August 1988): 291–300. http://dx.doi.org/10.2466/pms.1988.67.1.291.

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The purpose of this study was to investigate the response patterns of men and women to suprathreshold lingual-vibrotactile and auditory stimulation. The psychophysical methods of magnitude estimation and cross-modal matching were used on a group of 10 men ( M age = 19.6 yr.) and 10 women ( M age = 20.2 yr.). Analysis showed that the men and women performed differently on the magnitude-estimation tasks and similarly on the cross-modal matching tasks. These results suggested that sex differences on suprathreshold psychophysical scaling may be related to the way men and women use numbers as opposed to possible differences in the perception of suprathreshold sensory stimuli by men and women.
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Zhang, Bin, Huaxiang Zhang, Jiande Sun, Zhenhua Wang, Hongchen Wu, and Xiao Dong. "Modality-Reconstructed Cross-Media Retrieval via Sparse Neural Networks Pre-Trained by Restricted Boltzmann Machines." Journal of Advanced Computational Intelligence and Intelligent Informatics 22, no. 5 (September 20, 2018): 611–20. http://dx.doi.org/10.20965/jaciii.2018.p0611.

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Cross-media retrieval has raised a lot of research interests, and a significant number of works focus on mapping the heterogeneous data into a common subspace using a couple of projection matrices corresponding to each modal data before implementing similarity comparison. Differently, we reconstruct one modal data (e.g., images) to the other one (e.g., texts) using a model named sparse neural network pre-trained by Restricted Boltzmann Machines (MRCR-RSNN) so that we can project one modal data into the space of the other one directly. In the model, input is low-level features of one modal data and output is the other one. And cross-media retrieval is implemented based on the similarities of their representatives. Our model need not any manual annotation and its application is more widely. It is simple but effective. We evaluate the performance of our method on several benchmark datasets, and experimental results prove its effectiveness based on the Mean Average Precision (MAP) and Precision Recall (PR).
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Dissertations / Theses on the topic "Cross-modal comparison"

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Brill, John. "A COMPARISON OF ATTENTIONAL RESERVE CAPACITY ACROSS THREE SENSORY MODALITIES." Doctoral diss., University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2305.

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There are two theoretical approaches to the nature of attentional resources. One proposes a single, flexible pool of cognitive resources; the other poses there are multiple resources. This study was designed to systematically examine whether there is evidence for multiple resource theory using a counting task consisting of visual, auditory, and tactile signals using two experiments. The goal of the first experiment was the validation of a multi-modal secondary loading task. Thirty-two participants performed nine variations of a multi-modal counting task incorporating three modalities and three demand levels. Performance and subjective ratings of workload were measured for each of the nine conditions of the within-subjects design. Significant differences were found on the basis of task demand level, irrespective of modality. Moreover, the perceived workload associated with the tasks differed by task demand level and not by modality. These results suggest the counting task is a valid means of imposing task demands across multiple modalities. The second experiment used the same counting task as a secondary load to a primary visual monitoring task, the system monitoring component of the Multi-Attribute Task Battery (MATB). The experimental conditions consisted of performing the system monitoring task alone as a reference and performing system monitoring combined with visual, auditory, or tactile counting. Thirty-one participants were exposed to all four experimental conditions in a within-subjects design. Performance on the primary and secondary tasks was measured, and subjective workload was assessed for each condition. Participants were instructed to maintain performance on the primary task, irrespective of condition, which they did so effectively. Secondary task performance for the visual-auditory and visual-tactile conditions was significantly better than for the visual-visual dual task condition. Subjective workload ratings were also consistent with the performance measures. These results clearly indicate that there is less interference for cross-modal tasks than for intramodal tasks. These results add evidence to multiple resource theory. Finally, these results have practical implications that include human performance assessment for display and alarm development, assessment of attentional reserve capacity for adaptive automation systems, and training.
Ph.D.
Department of Psychology
Sciences
Psychology PhD
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Book chapters on the topic "Cross-modal comparison"

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Helten, Thomas, Meinard Müller, Jochen Tautges, Andreas Weber, and Hans-Peter Seidel. "Towards Cross-Modal Comparison of Human Motion Data." In Lecture Notes in Computer Science, 61–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23123-0_7.

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Zhao, Tony, Jaeyoung Choi, and Gerald Friedland. "DIME: An Online Tool for the Visual Comparison of Cross-modal Retrieval Models." In MultiMedia Modeling, 729–33. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-37734-2_61.

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Goodglass, Harold. "Chapter 19. Inferences from cross-modal comparisons of agrammatism." In Agrammatic Aphasia, 1365–68. Amsterdam: John Benjamins Publishing Company, 1989. http://dx.doi.org/10.1075/z.39.31goo.

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Conference papers on the topic "Cross-modal comparison"

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Tralie, Christopher J., Abraham Smith, Nathan Borggren, Jay Hineman, Paul Bendich, Peter Zulch, and John Harer. "Geometric cross-modal comparison of heterogeneous sensor data." In 2018 IEEE Aerospace Conference. IEEE, 2018. http://dx.doi.org/10.1109/aero.2018.8396789.

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Chen, Yafen, Chuang Li, Guofa Shou, Diamond Urbano, Yoon-Hee Cha, Lei Ding, and Han Yuan. "Assessing rTMS effects in MdDS: Cross-modal comparison between resting state EEG and fMRI connectivity." In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2017. http://dx.doi.org/10.1109/embc.2017.8037231.

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Brown, F. M. "A comparison of autoepistemic logic and default logic both generalized so as to allow quantified variables to cross modal scopes." In Proceedings of the 2003 IEEE International Symposium on Intelligent Control. IEEE, 2003. http://dx.doi.org/10.1109/isic.2003.1254744.

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Chao, C. C., T. P. Tung, C. C. Sheu, and H. J. Chern. "A 3-D Laminated Plate Theory and Nonlinear Impact Modal Analysis." In ASME 1991 Design Technical Conferences. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/detc1991-0299.

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Abstract A three-dimensional theory of cross-ply laminated thick plates is developed via an elasticity approach for nonlinear impact modal analysis. The simply supported plate is strictly stress free over all four edges and both lateral surfaces, in addition to stress-loading equilibrium over the patch loading area. The 3-D dynamic displacement fields are expressed in a mixed mode of double Fourier series and cubic polynomials. A system of modified Lagrange’s equations is derived incorporating all surface conditions and interface displacement and stress continuities. Validity of the present 3-D theory is proved in comparison to the only existing exact solutions in the basic cases of statics and free vibration. The nonlinear impact modal analysis is performed using the Hertz contact law in patch loading and Green’s function for small time linearization. The 3-D displacements and stresses are found to predict a tensile crack at the unimpacted side and probably, a delamination at the interface. They are always unsymmetric with respect to the mid-plane in all cases of unidirectional, symmetric and antisymmetric cross-ply laminates due to the one-sided loading.
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Cao, Min, Shiping Li, Juntao Li, Liqiang Nie, and Min Zhang. "Image-text Retrieval: A Survey on Recent Research and Development." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/759.

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In the past few years, cross-modal image-text retrieval (ITR) has experienced increased interest in the research community due to its excellent research value and broad real-world application. It is designed for the scenarios where the queries are from one modality and the retrieval galleries from another modality. This paper presents a comprehensive and up-to-date survey on the ITR approaches from four perspectives. By dissecting an ITR system into two processes: feature extraction and feature alignment, we summarize the recent advance of the ITR approaches from these two perspectives. On top of this, the efficiency-focused study on the ITR system is introduced as the third perspective. To keep pace with the times, we also provide a pioneering overview of the cross-modal pre-training ITR approaches as the fourth perspective. Finally, we outline the common benchmark datasets and evaluation metric for ITR, and conduct the accuracy comparison among the representative ITR approaches. Some critical yet less studied issues are discussed at the end of the paper.
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Yu, Lingli, and Mick Cashmore. "An Acoustic Modal Analysis of a DLE Combustion System." In ASME Turbo Expo 2008: Power for Land, Sea, and Air. ASMEDC, 2008. http://dx.doi.org/10.1115/gt2008-51075.

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This paper presents a methodology used in a study of acoustic modal properties of a DLE combustion system. An enclosure of a simple cylinder was taken as a benchmark study example of acoustics before the acoustic modal properties of the combustion system was examined. The FE code of ABAQUS was used for the acoustic simulation. The sine sweep excitation and known volume velocity technique was used for the acoustic testing. Excellent results were obtained on both test and simulation compared with the exact analytical solution for a given frequency range. The benchmark study shows that while for testing, a 3D microphone matrix (expensive instrumentation) is needed for measuring all potential natural frequencies and modeshapes, the FE code of ABAQUS can readily be used for a 3D system with a good degree of accuracy. Simulation and testing were then extended to a single leg of combustor model. Again good agreement was achieved between the test and simulation. The comparison shows that for frequencies within the given range, all predicted frequencies can be found in the test with errors less than 5%. The sensitivity of acoustic response to the varied acoustic boundary conditions was also studied using this model. The study suggested a complete model with all included combustion cans was necessary for a better prediction. Based on the studies above, A FE model was developed for the complete 8-can combustion system. The simulation of the complete model shows that the model is able to replicate the acoustic modal characteristic seen in engine test. Using this model the influence of cross-talk between the adjacent cans, the sensitivity of geometry configuration, the acoustic properties and boundaries can be examined.
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Deka, Dhyanjyoti, Paul R. Hays, Kamaldev Raghavan, and Mike Campbell. "Straked Riser Design With VIVA." In ASME 2010 29th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/omae2010-20569.

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VIVA is a vortex induced vibration (VIV) analysis software that to date has not been widely used as a design tool in the offshore oil and gas industry. VIVA employs a hydrodynamic database that has been benchmarked and calibrated against test data [1]. It offers relatively few input variables reducing the risk of user induced variability of results [2]. In addition to cross flow current induced standing wave vibration, VIVA has the capability of predicting traveling waves on a subsea riser, or a combination of standing and traveling waves. Riser boundary conditions including fixed, pinned, flex joint or SCR seabed interaction can be modeled using springs and dashpots. VIVA calculates riser natural frequencies and mode shapes and also has the flexibility to import external modal solutions. In this paper, the applicability of VIVA for the design of straked steel catenary risers (SCR) and top tensioned risers (TTR) is explored. The use of linear and rotational springs provided by VIVA to model SCR soil interaction and flex joint articulation is evaluated. Comparisons of the VIV fatigue damage output with internal and external modal solution is presented in this paper. This paper includes validation of the VIVA generated modal solution by comparing the modal frequencies and curvatures against a finite element (FE) model of the risers. Fatigue life is calculated using long term Gulf of Mexico (GoM) currents and is compared against the industry standard software SHEAR7. Three different lift curve selections in SHEAR7 are used for this comparison. The differences in riser response prediction by the two software tools are discussed in detail. The sensitivity of the VIVA predicted riser response to the absence of VIV suppression devices is presented in this paper. The riser VIV response with and without external FE generated modal input is compared and the relative merits of the two modeling approaches are discussed. Finally, the recommended approach for VIVA usage for SCR and TTR design is given.
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Bunnik, Tim, Wout Weijtjens, and Christof Devriendt. "Simulation of Wave Impacts at Belwind Offshore Wind Farm and Comparison With Full-Scale Measurements." In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/omae2017-61305.

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The effects of operational wave loads and wind loads on offshore monopile wind turbines are well understood. For most sites, however, the water depth is such that steep and/or breaking waves will occur causing impulsive excitation of the monopile and consequently considerable stresses, displacements and accelerations in the monopile, tower and turbine. At Belwind offshore wind farm (offshore Zeebrugge, Belgium) the waves and accelerations of a Vestas V90 3MW wind turbine have been monitored since November 2013, using wave radar and several accelerometers. During this period the wind turbine was exposed to several storms and experienced several wave impacts, resulting in vibrations in the monopile. The measurements were compared with results from a numerical model for the flexible response of wind turbines due to steep waves. Previously this model was compared with scale model tests with satisfying results. The full-scale measurements provide an additional cross-check of the model. The numerical model consists of a one-way coupling between a CFD model for wave loads and a simplified structural model based on mode shapes. An iterative wave calibration technique has been developed in the CFD model to ensure a good match between the simulated and measured incoming wave profile, obtained with the wave radar. This makes a deterministic comparison between simulations and measurements possible. This iteration is carried out in a 2D CFD domain (assuming long-crested waves) and is therefore relatively cheap. The calibrated numerical wave is then simulated in a 3D CFD domain including a (fixed) wind turbine. The resulting wave pressures on the turbine have been used to compute the modal excitation and subsequently the modal response of the wind turbine. The mode shapes have been estimated from the measured accelerations at the Belwind turbine. A grid refinement study was done to verify the results from the numerical model. The horizontal accelerations resulting from this one-way coupling are in fair agreement with the measured accelerations.
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de Varda, Andrea Gregor, and Carlo Strapparava. "Phonovisual Biases in Language: is the Lexicon Tied to the Visual World?" In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/89.

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The present paper addresses the study of cross-linguistic and cross-modal iconicity within a deep learning framework. An LSTM-based Recurrent Neural Network is trained to associate the phonetic representation of a concrete word, encoded as a sequence of feature vectors, to the visual representation of its referent, expressed as an HCNN-transformed image. The processing network is then tested, without further training, in a language that does not appear in the training set and belongs to a different language family. The performance of the model is evaluated through a comparison with a randomized baseline; we show that such an imaginative network is capable of extracting language-independent generalizations in the mapping from linguistic sounds to visual features, providing empirical support for the hypothesis of a universal sound-symbolic substrate underlying all languages.
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Wauer, Jörg. "Weight-Excited Vibrations of Rotating Curved Beams." In ASME 1991 Design Technical Conferences. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/detc1991-0227.

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Abstract Flexural vibrations of a slender rotating beam whose centre line is assumed to be naturally curved are considered. The beam, simply supported and axially restrained rotates at a constant speed about a horizontal axis in a gravity field. In one case, the rotational axis is parallel to the line connecting the centroids of the end cross-sections, and, in the other case, it is perpendicular to that line. A modal truncation of the governing nonlinear boundary value problem yields a set of ordinary gyroscopic differential equations of the Duffing type. For the cases of a cross-section with extremely different bending stiffnesses and a circular cross-section, the vibrational behaviour is analyzed in detail. The steady-state response (neglecting the influence of gravity) and its stability are considered first. A numerical investigation of weight-excited oscillations follows, where both periodic and even chaotic motions may occur. The effect of different damping mechanisms is addressed. A comparison with the dynamic snap-through of a non-rotating arch and the nonlinear vibrations of a rotating straight bar concludes the contribution.
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