Browsing by Author "Vidal, R."
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- ItemCompactNets: Compact Hierarchical Compositional Networks for Visual Recognition(2020) Löbel Díaz, Hans-Albert; Vidal, R.; Soto Arriaza, Álvaro Marcelo
- ItemFunctional role of the disulfide isomerase ERp57 in axonal regeneration(2015) Castillo, V.; Onate, M.; Woehlbier, U.; Rozas, P.; Andreu, C.; Medinas, D.; Valdes, P.; Osorio, F.; Mercado, G.; Court G., Felipe; Vidal, R.; Kerr, B.; Hetz, C.
- ItemJoint dictionary and classifier learning for categorization of images using a max-margin framework(2014) Lobel, H.; Vidal, R.; Mery Quiroz, Domingo Arturo; Soto, A.
- ItemLearning Shared, Discriminative, and Compact Representations for Visual Recognition(IEEE, 2015) Löbel Díaz, Hans-Albert; Vidal, R.; Soto Arriaza, Álvaro MarceloDictionary-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 trained on top of the mid-level representation. While earlier methods built the mid-level representation without supervision, there is currently great interest in learning both representations jointly to make the mid-level representation more discriminative. In this work we propose a new approach to visual recognition that jointly learns a shared, discriminative, and compact mid-level representation and a compact high-level representation. By using a structured output learning framework, our approach directly handles the multiclass case at both levels of abstraction. Moreover, by using a group-sparse prior in the structured output learning framework, our approach encourages sharing of visual words and thus reduces the number of words used to represent each class. We test our proposed method on several popular benchmarks. Our results show that, by jointly learning midand high-level representations, and fostering the sharing of discriminative visual words among target classes, we are able to achieve state-of-the-art recognition performance using far less visual words than previous approaches.
- ItemLearning Shared, Discriminative, and Compact Representations for Visual Recognition(2015) Löbel Díaz, Hans-Albert; Vidal, R.; Soto Arriaza, Álvaro Marcelo
- ItemRegulation of Memory Formation by the Transcription Factor XBP1(2016) Martínez, Gonzalo; Vidal, R.; Mardones, P.; Serrano, F.; Ardiles, A.; Wirth, C.; Valdés, P.; Thielen, P.; Schneider, B.; Inestrosa Cantín, Nibaldo; Kerr, B.; Valdés, J.; Palacios, A
- ItemTargeting the UPR transcription factor XBP1 protects against Huntington's disease through the regulation of FoxO1 and autophagy(2012) Vidal, R.; Court G., Felipe