A key challenge in the management of microarray data is the large size of images that constitute the output of microarray experiments. Therefore, only the expression values extrac...
The recently proposed method for image compression based on multi-scale recurrent patterns, the MMP (Multidimensional Multiscale Parser) has been shown to perform well for a large...
Eddie B. L. Filho, Murilo B. de Carvalho, Eduardo ...
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
Rapid development of DNA sequencing technologies exponentially increases the amount of publicly available genomic data. Whole genome multiple sequence alignments represent a parti...
Pavol Hanus, Janis Dingel, Georg Chalkidis, Joachi...
Abstract. By coding the input testing image as a sparse linear combination of the training samples via l1-norm minimization, sparse representation based classification (SRC) has b...