Active shape model (ASM) statistically represents a shape by a set of well-defined landmark points and models object variations using principal component analysis (PCA). However, ...
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
Under the constraint of using only a single gallery image per person, this paper proposes a fast multi-class pattern classification approach to 2D face recognition robust to chan...
Shaokang Chen, Conrad Sanderson, Sai Sun, Brian C....
Lookahead is a well-known constraint propagation technique for DPLL-based SAT and answer set solvers. Despite its space pruning power, it can also slow down the search, due to its...
Abstract— This paper presents a learning-enhanced marketbased task allocation approach for oversubscribed domains. In oversubscribed domains all tasks cannot be completed within ...
Edward Gil Jones, M. Bernardine Dias, Anthony Sten...