Academic literature on the topic 'Configural superiority'

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Journal articles on the topic "Configural superiority"

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Bratch, A., A. Srinath, S. Barr, W. Bromfield, and J. Gold. "Configural superiority reduces efficiency." Journal of Vision 14, no. 10 (2014): 244. http://dx.doi.org/10.1167/14.10.244.

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Moors, Pieter, Thiago Leiros Costa, and Johan Wagemans. "Configural superiority for varying contrast levels." Attention, Perception, & Psychophysics 82, no. 3 (2019): 1355–67. http://dx.doi.org/10.3758/s13414-019-01917-y.

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Pomerantz, J., and A. Cragin. "Crowding, Grouping, and the Configural Superiority Effect." Journal of Vision 12, no. 9 (2012): 1286. http://dx.doi.org/10.1167/12.9.1286.

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Houpt, J., R. Hawkins, D. Burns, and J. Townsend. "Measuring Configural Superiority with the Capacity Coefficient." Journal of Vision 13, no. 9 (2013): 73. http://dx.doi.org/10.1167/13.9.73.

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Pomerantz, J. R., A. I. Cragin, K. D. Orsten, and M. C. Portillo. "The computational and cortical bases for configural superiority." Journal of Vision 12, no. 9 (2012): 1384. http://dx.doi.org/10.1167/12.9.1384.

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Keshvari, Shaiyan, and Ruth Rosenholtz. "Evidence for configural superiority effects in convolutional neural networks." Journal of Vision 17, no. 15 (2017): 44. http://dx.doi.org/10.1167/17.15.44.

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Eidels, A., and J. T. Townsend. "Configural superiority: RT, accuracy, and an ideal observer approach." Journal of Vision 6, no. 6 (2010): 526. http://dx.doi.org/10.1167/6.6.526.

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Keshvari, Shaiyan, and Ruth Rosenholtz. "Evidence for Configural Superiority Effects in Convolutional Neural Networks." Journal of Vision 17, no. 10 (2017): 169. http://dx.doi.org/10.1167/17.10.169.

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Dresp, Birgitta. "The Kanizsa square does not engender a configural superiority effect." Bulletin of the Psychonomic Society 31, no. 3 (1993): 183–84. http://dx.doi.org/10.3758/bf03337319.

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de-Wit, Lee H., Jonas Kubilius, de Beeck Hans P. Op, and Johan Wagemans. "Configural Gestalts remain nothing more than the sum of their parts in visual agnosia." i-Perception 4, no. 8 (2013): 493–97. https://doi.org/10.1068/i0613rep.

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We report converging evidence that higher stages of the visual system are critically required for the whole to become more than the sum of its parts by studying patient DF with visual agnosia using a configural superiority paradigm. We demonstrate a clear dissociation between this patient and normal controls such that she could more easily report information about parts, demonstrating a striking reversal of the normal configural superiority effect. Furthermore, by comparing DF’s performance to earlier neuroimaging and novel modeling work, we found a compelling consistency between her performance and representations in the early visual areas, which are spared in this patient. The reversed pattern of performance in this patient highlights that in some cases visual Gestalts do not emerge early on without processing in higher visual areas. More broadly, this study demonstrates how neuropsychological patients can be used to unmask representations maintained at early stages of processing.
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Dissertations / Theses on the topic "Configural superiority"

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Fox, Olivia Michelle. "How configural is the Configural Superiority Effect? A neuroimaging investigation of emergent features in visual cortex." Wright State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1485175382220625.

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Mersch, Elizabeth Marie. "Linking Neural States and Performance: The Configural Superiority Effect and Perception-Action Model." Wright State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wright1420549574.

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Portillo, Mary C. "The search for emergent features in vision: Looking at configural superiority effects with the odd-quadrant task." Thesis, 2006. http://hdl.handle.net/1911/17908.

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A series of three experiments were designed to test for Emergent Features, which, in Gestalt psychology, are indicative of grouping. By using basic elements such as dots or lines and building EFs sequentially, while maintaining the original discrimination constant, it was possible to compare the strength of different EFs. Proximity, Orientation, Symmetry, Linearity, Surroundedness, Inside/Outside relationship, Collinearity, Parallelism, Inflection Point and Closure were tested. A Configural Superiority Effect (CSE, where the RT in a composite condition is shorter than the RT in a singleton condition) was diagnostic of the presence of an EF in an Odd Quadrant task. Proximity, Orientation, Linearity, Inside/Outside and Collinearity produced CSEs and thus behave as basic in human vision. Mixed results were obtained for Symmetry and Parallelism. Further, Inflection Point and Closure were only suggested in the stimuli, so they cannot be ruled out as EFs.
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Book chapters on the topic "Configural superiority"

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Hao, Xinlei. "Crude Oil Prediction Based on Multi-Factor LSTM-Transformer Algorithm." In Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde240114.

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The precise prediction of global oil prices holds immense importance in maintaining economic stability and mitigating risks. This paper proposes a novel machine learning-based time series forecasting method using the combination of Long Short-Term Memory (LSTM) and Transformer algorithms. To address the low dimensionality of predictors for the Transformer and preserve the chronological order of data, LSTM networks with a configured time step are employed for transformation. For illustration and verification purposes, a multi-factor LSTM-Transformer model is used to predict the crude oil spot price (return) of West Texas Intermediate (WTI). The empirical results validate the efficacy and superiority of this approach over single-factor and linear models in forecasting oil prices, making it a promising method for time series forecasting.
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Jarcă, Andrei, Florinel-Alin Croitoru, and Radu Tudor Ionescu. "CBM: Curriculum by Masking." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia240503.

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We propose Curriculum by Masking (CBM), a novel state-of-the-art curriculum learning strategy that effectively creates an easy-to-hard training schedule via patch (token) masking, offering significant accuracy improvements over the conventional training regime and previous curriculum learning (CL) methods. CBM leverages gradient magnitudes to prioritize the masking of salient image regions via a novel masking algorithm and a novel masking block. Our approach enables controlling sample difficulty via the patch masking ratio, generating an effective easy-to-hard curriculum by gradually introducing harder samples as training progresses. CBM operates with two easily configurable parameters, i.e. the number of patches and the curriculum schedule, making it a versatile curriculum learning approach for object recognition and detection. We conduct experiments with various neural architectures, ranging from convolutional networks to vision transformers, on five benchmark data sets (CIFAR-10, CIFAR-100, ImageNet, Food-101 and PASCAL VOC), to compare CBM with conventional as well as curriculum-based training regimes. Our results reveal the superiority of our strategy compared with the state-of-the-art curriculum learning regimes. We also observe improvements in transfer learning contexts, where CBM surpasses previous work by considerable margins in terms of accuracy. We release our code for free non-commercial use at https://github.com/CroitoruAlin/CBM.
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Soares, Larissa Bergides, and Myriam Angélica Dornelas. "Coffees in Brazil: A bibliometric study about specialty coffees." In A LOOK AT DEVELOPMENT. Seven Editora, 2023. http://dx.doi.org/10.56238/alookdevelopv1-071.

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Coffee is a beverage consumed daily worldwide, mainly by the western population, making it one of the most important beverages in the world. The production and agro-industrial chain of special coffee configures an infinite number of possibilities of action in the national and international market for the agents involved in this production chain. Based on this context, the general objective of this study was to conduct a bibliographic survey on the topic of the specialty coffee market in the Web of Science database, in the period 2017-2021. Methodologically, this study was classified as exploratory research, carried out through a bibliometric study. Data collection was performed on the Thomson Reuters Web of Science platform (main collection) due to the expanding number of journals indexed to it. A research protocol was created using keywords and then a filter by categories and refinement by the most cited articles was carried out. Data collection took place on October 28, 2021, which resulted in 150 articles for all areas of knowledge. We opted for the filter of categories related to the following areas of knowledge: Business, Agronomy, Management, Multidisciplinary Sciences and Economics, where it was obtained in 39 articles. The refinement of the search for the most cited articles resulted in five works on specialty coffees. Finally, this study managed to gather important information about the value chain, about consumers, about the market as a whole and about the relevance of associations, cooperatives, and certifiers, which help attest to the superiority of specialty coffees.
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Conference papers on the topic "Configural superiority"

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Dash, Kalyan S., N. B. Puhan, and Ganapati Panda. "Gestalt configural superiority effect: A complexity paradigm for handwritten numeral recognition." In 2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR). IEEE, 2015. http://dx.doi.org/10.1109/icapr.2015.7050692.

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