Successful state-of-the-art object recognition techniques from images have been based on powerful techniques, such as sparse representation, in order to replace the also popular vector quantization approach. Recently, ...

This work presents an approach to category-based action recognition in video using sparse coding techniques. The proposed approach includes two main contributions: i) A new method to handle intra-class variations by ...

In this paper, the problem of training a classifier on a dataset with incomplete features is addressed. We assume that different subsets of features (random or structured) are available at each data instance. This situation ...

Sparse data models, where data is assumed to be well represented as a linear combination of a few elements from a learned dictionary, have gained considerable attention in recent years, and their use has led to state-of-the-art ...

This work presents an approach to category-based action recognition in video using sparse coding techniques. The proposed approach includes two main contributions: i) A new method to handle intra-class variations by ...

In this work, a first approach to a robust phoneme recognition task by means of a biologically inspired feature extraction method is presented. The proposed technique provides an approximation to the speech signal ...

O surgimento de câmeras pessoais portáteis de baixo custo, combinado com a alta qualidade dos sensores e a quase ilimitada capacidade de armazenamento em sites de compartilhamento de vídeos despertou um crescente interesse ...