The recent explosion in protein data generated from both directed small-scale studies and largescale proteomics efforts has greatly expanded the quantity of available protein info...
Robert S. Nash, Shuai Weng, Benjamin C. Hitz, Rama...
This paper presents a detailed empirical study of local search for Boolean satisfiability (SAT), highlighting several interesting properties, some of which were previously unknown...
In this paper, we introduce a system that synthesizes the emotional audio-visual speech for a 3-D talking agent by adopting the PAD (Pleasure-Arousal-Dominance) emotional model. A ...
Graphs are prevailingly used in many applications to model complex data structures. In this paper, we study the problem of supergraph containment search. To avoid the NP-complete s...
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...