Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
Recent developments in techniques for modeling, digitizing and visualizing 3D shapes has led to an explosion in the number of available 3D models on the Internet and in domain-spe...
Viewpoint independent recognition of free-form objects and their segmentation in the presence of clutter and occlusions is a challenging task. We present a novel 3D model-based alg...
We present a theory for constructing linear subspace approximations to face-recognition algorithms and empirically demonstrate that a surprisingly diverse set of face-recognition a...
Background: Proteomic profiling of complex biological mixtures by the ProteinChip technology of surfaceenhanced laser desorption/ionization time-of-flight (SELDI-TOF) mass spectro...
Huixiao Hong, Yvonne P. Dragan, Joshua Epstein, Ca...