We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
—We present the design and implementation of a parallel exact inference algorithm on the Cell Broadband Engine (Cell BE). Exact inference is a key problem in exploring probabilis...
A novel low power ripple-precharge Ternary CAM (RPTCAM) architecture is proposed for applicationsin longest prefix matching tasks. The main motivation behind this research is to ...
Deepak S. Vijayasarathi, Mehrdad Nourani, Mohammad...
The goal of this paper is to find sparse and representative spatial priors that can be applied to part-based object localization. Assuming a GMRF prior over part configurations, w...