The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Abstract. Feature Extraction, also known as Multidimensional Scaling, is a basic primitive associated with indexing, clustering, nearest neighbor searching and visualization. We co...
We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...
— A Cyber-Physical System (CPS) integrates physical devices (e.g., sensors, cameras) with cyber (or informational) components to form a situation-integrated analytical system tha...
Lu An Tang, Xiao Yu, Sangkyum Kim, Jiawei Han, Wen...
A critical problem in wide-issue superscalar processors is the limit on cycle time imposed by the central register file and operand bypass network. In this paper, a distributed re...
Santithorn Bunchua, D. Scott Wills, Linda M. Wills