In this paper, a framework that combines feature extraction, model learning, and likelihood computation, is presented for video event detection. First, the independent component a...
Metadata development can be challenging because the vocabulary should be flexible and extensible, widely applicable, interoperable, and both machine and human readable. We describ...
Bulk Synchronous Parallel ML (BSML) is an extension of the functional language Objective Caml to program Bulk Synchronous Parallel (BSP) algorithms. It is deterministic, deadlock ...
Dynamic sentiment ambiguous adjectives (DSAAs) like "large, small, high, low"pose a challenging task on sentiment analysis. This paper proposes a knowledge-based method ...
We present the state of the art of a computational platform for the analysis of classical Sanskrit. The platform comprises modules for phonology, morphology, segmentation and shal...