The significant growth in computational power of modern Graphics Processing Units(GPUs) coupled with the advent of general purpose programming environments like NVIDA's CUDA,...
Kishore Kothapalli, Rishabh Mukherjee, M. Suhail R...
Finite-time optimal control problems with quadratic performance index for linear systems with linear constraints can be transformed into Quadratic Programs (QPs). Model Predictive ...
Francesco Borrelli, Mato Baotic, Jaroslav Pekar, G...
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...
The low cost and wide availability of networks of workstations have made them an attractive solution for high performance computing. However, while a network of workstations may be...
—This paper presents methods of modeling and predicting face recognition (FR) system performance based on analysis of similarity scores. We define the performance of an FR system...