We describe a new family of topic-ranking algorithms for multi-labeled documents. The motivation for the algorithms stems from recent advances in online learning algorithms. The a...
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
BeatBender is a computer music project that explores a new method for generating emergent rhythmic drum patterns using the subsumption architecture. Rather than explicitly coding ...
Wireless multihop ad hoc networks face a multitude of challenging problems including highly dynamic multihop topologies, lossy and noisy communications channels, and sporadic conne...
Alvin C. Valera, Hwee-Pink Tan, Winston Khoon Guan...
We propose, implement and evaluate three admission models for computational Grids. The models take the expected demand into account and offer a specific performance guarantee. Th...