Independent component analysis (ICA) is possibly the most widespread approach to solve the blind source separation (BSS) problem. Many different algorithms have been proposed, tog...
Jarkko Ylipaavalniemi, Nima Reyhani, Ricardo Vig&a...
In this paper, we introduce a technique for applying Independent Component Analysis to vector space representations of software code fragments such as methods or blocks. The dista...
The research vision of the Unified Component Meta Model Framework (UniFrame) is to develop an infrastructure for components that enables a plug and play component environment wher...
Carol C. Burt, Barrett R. Bryant, Rajeev R. Raje, ...
—In this paper, a new model that can ultimately create its own set of perceptual features is proposed. Using a bidirectional associative memory (BAM)-inspired architecture, the r...
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...