This paper addresses the problem of probabilistic recognition of activities from local spatio-temporal appearance. Joint statistics of space-time filters are employed to define hi...
The success of kernel methods including support vector machines (SVMs) strongly depends on the design of appropriate kernels. While initially kernels were designed in order to han...
This paper proposes a recognition based approach to handwritten numeral string segmentation. We consider two classes: numeral strings segmented correctly or not. The feature vecto...
The table recognition literature contains many strategies specified informally as a sequence of operations, obscuring both models of table structure and the effects of individual...
Richard Zanibbi, Dorothea Blostein, James R. Cordy
The ability of a computer to detect and appropriately respond to changes in a user’s affective state has significant implications to Human-Computer Interaction (HCI). To more ac...
Zhihong Zeng, ZhenQiu Zhang, Brian Pianfetti, Jili...