In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
We introduce a reliable memory system that can tolerate multiple transient errors in the memory words as well as transient errors in the encoder and decoder (corrector) circuitry....
— We propose a powerful symmetric kernel classifier for nonlinear detection in challenging rank-deficient multipleantenna aided communication systems. By exploiting the inheren...
Sheng Chen, Andreas Wolfgang, Chris J. Harris, Laj...
lass Recognition using Images of Abstract Regions Yi Li, Jeff A. Bilmes, and Linda G. Shapiro Department of Computer Science and Engineering Department of Electrical Engineering Un...
The complicated user interfaces and complex functionality of nowadays interactive products lead to a new class of failures: People do not understand their products and thus fail t...