We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal ...
Abstract-- Mapping mashups are emerging Web 2.0 applications in which data objects such as blogs, photos and videos from different sources are combined and marked in a map using AP...
Anthony K. H. Tung, Beng Chin Ooi, Dongxiang Zhang
Tables are a universal idiom to present relational data. Billions of tables on Web pages express entity references, attributes and relationships. This representation of relational...
Web services are self-contained, modular units of application logic which provide business functionality to other applications via Internet connections. Several models have been u...
We address the problem of recovering 3D human pose from single 2D images, in which the pose estimation problem is formulated as a direct nonlinear regression from image observation...