In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
This paper presents a new restoration approach to reduce coding artifacts in block-transform image coding. Di erent from conventional restoration techniques, the proposed one is n...
Reproduction of facial animation play a fundamental role in applications requiring human-computer interactions The objective of this paper is to introduce a geometric mechanism th...
We introduce Hegel and Fichte’s dialectic as a search meta-heuristic for constraint satisfaction and optimization. Dialectic is an appealing mental concept for local search as it...
Recommender systems aim to substantially reduce information overload by suggesting lists of similar items that users may find interesting. Caching has been a useful technique for...
Umar Qasim, Vincent Oria, Yi-fang Brook Wu, Michae...