The short time-to-market window for embedded systems demands automation of design methodologies for customizable processors. Recent research advances in this direction have mostly...
Unmesh D. Bordoloi, Huynh Phung Huynh, Samarjit Ch...
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
This paper investigates asymptotically optimal scalar quantizers to address QIM watermark detection with i.i.d. host data and additive noise. False-alarm probability of detection ...
Jean-Philippe Boyer, Pierre Duhamel, Jacques Blanc...
Situation awareness involves the identification and monitoring of relationships among objects participating in an evolving situation. This problem in general is intractable (i.e.,...
Christopher J. Matheus, Mieczyslaw M. Kokar, Kenne...
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...