Feature subset selection presents a common challenge for the applications where data with tens or hundreds of features are available. Existing feature selection algorithms are mai...
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
In this paper, we deal with information retrieval approach based on language model paradigm, which has been intensively investigated in recent years. We propose, implement, and ev...
This paper describes the development of a rule-based computational model that describes how a feature-based representation of shared visual information combines with linguistic cu...
Abstract. To cope with the ever increasing diversity of markup languages, programming languages, tool kits and interface development environments, conceptual modeling of user inter...