We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
Today mobile computing is pervasively taking over the traditional desktop computing. Mobile devices are characterized by abrupt and unannounced changes in execution context. The ap...
Uzair Ahmad, S. Y. Lee, Mahrin Iqbal, Uzma Nasir, ...
SRI International's IraqComm system performs bidirectional speech-to-speech machine translation between English and Iraqi Arabic in the domains of force protection, municipal ...
Michael W. Frandsen, Susanne Riehemann, Kristin Pr...
Abstract: Reuse of software entities such as components or Web services raise composition issues since, most of the time, they present mismatches in their interfaces. These mismatc...
Eigenvalue problems are rampant in machine learning and statistics and appear in the context of classification, dimensionality reduction, etc. In this paper, we consider a cardina...
Bharath K. Sriperumbudur, David A. Torres, Gert R....