In this paper, we address the problem of producing visible spectrum facial images as we normally see by using thermal infrared images. We apply Canonical Correlation Analysis (CCA)...
Starting with a similarity function between objects, it is possible to define a distance metric (the kernel distance) on pairs of objects, and more generally on probability distr...
Sarang C. Joshi, Raj Varma Kommaraju, Jeff M. Phil...
Many algorithms in computer graphics improve their efficiency by using Hierarchical Space Subdivision Schemes (HS3), such as octrees, kD-trees or BSP trees. Such HS3 usually provi...
Tamy Boubekeur, Wolfgang Heidrich, Xavier Granier,...
Most modern compilers operate by applying a fixed, program-independent sequence of optimizations to all programs. Compiler writers choose a single “compilation sequence”, or ...
L. Almagor, Keith D. Cooper, Alexander Grosul, Tim...
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...