Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...
Most studies modeling inaccurate data in Gold style learning consider cases in which the number of inaccuracies is finite. The present paper argues that this approach is not reaso...
The state-of-the-art object detection algorithm learns a binary classifier to differentiate the foreground object from the background. Since the detection algorithm exhaustively s...
Currently, only Xilinx Field Programmable Gate Arrays (FPGAs) support Dynamic Partial Reconfiguration (DPR). While there is currently some Computer Aided Design (CAD) tool support...
Edward Chen, William A. Gruver, Dorian Sabaz, Lesl...