In this paper, we propose a Bayesian estimation approach to extend independent subspace analysis (ISA) for an overcomplete representation without imposing the orthogonal constraint...
A preliminary model is introduced in this paper whereby data and its associated security properties are treated as a single atomic unit of information in a hardwareonly context. Se...
Brian J. d'Auriol, Tuyen Nguyen, Vo Quoc Hung, Duc...
For natural language understanding, it is essential to reveal semantic relations between words. To date, only the IS-A relation has been publicly available. Toward deeper natural ...
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
This paper presents core fusion, a reconfigurable chip multiprocessor (CMP) architecture where groups of fundamentally independent cores can dynamically morph into a larger CPU, ...
Engin Ipek, Meyrem Kirman, Nevin Kirman, Jos&eacut...