In the last 25 years approximation algorithms for discrete optimization problems have been in the center of research in the fields of mathematical programming and computer science...
Abstract--Software transactional memory (STM) algorithms often rely on centralized components to achieve atomicity, isolation and consistency. In a distributed setting, centralized...
The implementation of an algorithm is faced with the issues efficiency, flexibility, and ease-of-use. In this paper, we suggest a design concept that greatly increases the flexibi...
In this paper, we survey the current state-ofart models for structured learning problems, including Hidden Markov Model (HMM), Conditional Random Fields (CRF), Averaged Perceptron...
We present a new approach for faster rendering of large synthetic environments using video-based representations. We decompose the large environment into cells and pre-compute vid...
Andrew Wilson, Ming C. Lin, Boon-Lock Yeo, Minerva...