Perceptron training is widely applied in the natural language processing community for learning complex structured models. Like all structured prediction learning frameworks, the ...
In this work, we present a technique for robust estimation, which by explicitly incorporating the inherent uncertainty of the estimation procedure, results in a more efficient rob...
Due to the sequential-readout structure of complementary-metal-oxide semiconductor image sensor array, each scanline of the acquired image is exposed at a different time, resulting...
The Knowledge Base Management Systems (KBMS) Project at the University of Toronto (1985-1995) was inspired by a need for advanced knowledge representation applications that require...
Vinay K. Chaudhri, Igor Jurisica, Manolis Koubarak...
— Active perception refers to a theoretical approach to the study of perception grounded on the idea that perceiving is a way of acting, rather than a cognitive process whereby t...