Many vision tasks can be formulated as partitioning an adjacency graph through optimizing a Bayesian posterior probability p defined on the partition-space. In this paper two appr...
This paper provides initial analysis in identifying possible Web services composition using context-based semantic matching. Context-based semantic matching allows service composi...
Due to the roaring power dissipation and gaining popularity of 3D integration, thermal dissipation has been a critical concern of modern VLSI design. The availability for chip-lev...
Combinatorial Auctions (CAs), where users bid on combination of items, have emerged as a useful tool for resource allocation in distributed systems. However, two main difficulties...
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...