Recently, in generic object recognition research, a classification technique based on integration of image features is garnering much attention. However, with a classifying techn...
Background: Biological evolution conserves protein residues that are important for structure and function. Both protein stability and function often require a certain degree of st...
Abstract— We present a strategy for resolving multiple hypotheses of a robot’s state during global localization. The strategy operates in two stages. In the first stage a uniq...
Rakesh Goyal, K. Madhava Krishna, Shivudu Bhuvanag...
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
Abstract. We present a method to improve the positive examples selection by teaching agents in a multi-agent system in which a team of agent peers teach concepts to a learning agen...