In this paper, face detection problem is considered using the concepts of compressive sensing technique. This technique includes dictionary learning procedure and sparse coding method to represent the structural content of input images. In the proposed method, dictionaries are learned in such a way that the trained models have the least degree of coherence to each other. The novelty of the prop...

Matching Pursuit is a video prediction error coding tool which is based on signal expansion using over-complete Gabor dictionary. It was originally proposed to MPEG committee by UCB and has been adopted to MPEG4 Version 2 Visual Working Draft since the Stockholm meeting in July 1997. In the contribution m3247 to the Tokyo meeting, Veeschouwer and Macq of UCL, Belgium propose using a Subband dic...

ÐThe data compression based on dictionary techniques works by replacing phrases in the input string with indexes into some dictionary. The dictionary can be static or dynamic. In static dictionary compression, the dictionary contains a predetermined fixed set of entries. In dynamic dictionary compression, the dictionary changes its entries during compression. We present parallel algorithms for ...

Sparse representation has long been studied and several dictionary learning methods have been proposed. The dictionary learning methods are widely used because they are adaptive. In this paper, a new dictionary learning method for audio is proposed. Signals are at first decomposed into different degrees of Intrinsic Mode Functions (IMF) using Empirical Mode Decomposition (EMD) technique. Then t...