This perspective paper explores principles of unsupervised learning and how they relate to face recognition. Dependency coding and information maximization appear to be central pr...
Abstract. The study of natural image statistics considers the statistical properties of large collections of images from natural scenes, and has applications in image processing, c...
Many source separation algorithms fail to deliver robust performance when applied to signals recorded using highdensity microphone arrays where distance between sensor elements is...
Abstract. Visual perception of transformation invariance, such as translation, rotation and scaling, is one of the important functions of processing visual information in the Brain...
In this paper we investigate the usage of random ortho-projections in the compression of sparse feature vectors. The study is carried out by evaluating the compressed features in ...