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ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
DAC
2005
ACM
14 years 12 months ago
2005
ACM
This paper presents a new method for designing test wrappers for embedded cores with multiple clock domains. By exploiting the use of multiple shift frequencies, the proposed meth...
APN
1994
Springer
15 years 2 months ago
1994
Springer
Abstract. In the last few years, the semantics of Petri nets has been investigated in several different ways. Apart from the classical "token game", one can model the beh...
AAAI
2011
13 years 10 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
AVSS
2007
IEEE
15 years 4 months ago
2007
IEEE
Traditional video scene analysis depends on accurate background modeling to identify salient foreground objects. However, in many important surveillance applications, saliency is ...