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Cortical maps as a fundamental neural substrate for visual representation
(Elsevier BV, 2023)
Learning Shared, Discriminative, and Compact Representations for Visual Recognition
(IEEE, 2015)
Dictionary-based and part-based methods are among the most popular approaches to visual recognition. In both methods, a mid-level representation is built on top of low-level image descriptors and high-level classifiers are ...
Compact and discriminative approach for encoding spatial-relationship of visual words
(Association for Computing Machinery - ACMUniversity of SalamancaSalamanca, 2015-04)
The Bag-of-Visual-Words approach has been successfully used for video and image analysis by encoding local features as visual words, and the final representation is a histogram of the visual words detected in the image. ...
Conceptual model for adaptable and extensible visual data exploration
(2004-12-01)
Interactive visual representations complement traditional statistical and machine learning techniques for data analysis, allowing users to play a more active role in a knowledge discovery process and making the whole process ...
Conceptual model for adaptable and extensible visual data exploration
(2004-12-01)
Interactive visual representations complement traditional statistical and machine learning techniques for data analysis, allowing users to play a more active role in a knowledge discovery process and making the whole process ...
Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition
(IEEE, 2013)
Currently, Bag-of-Visual-Words (BoVW) and part-based methods are the most popular approaches for visual recognition. In both cases, a mid-level representation is built on top of low-level image descriptors and top-level ...