Temperature is a dominant factor in the performance, reliability, and leakage power consumption of modern processors. As a result, increasing numbers of researchers evaluate therm...
Francisco J. Mesa-Martinez, Ehsan K. Ardestani, Jo...
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
In this paper we propose the use of Discrete Choice Analysis (DCA) for static facial expression classification. Facial expressions are described with expression descriptive units ...
Gianluca Antonini, Matteo Sorci, Michel Bierlaire,...
In this paper, we propose a technique for leveraging historical field failure records in conjunction with automated static analysis alerts to determine which alerts or sets of ale...
Mark Sherriff, Sarah Smith Heckman, J. Michael Lak...
: Software analysis pattern is an approach of software reuse which provides a way to reuse expertise that can be used across domains at early level of development. Developing softw...