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STOC
2000
ACM
15 years 2 months ago
2000
ACM
We describe a slightly subexponential time algorithm for learning parity functions in the presence of random classification noise, a problem closely related to several cryptograph...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
We consider feature extraction (dimensionality reduction) for compositional data, where the data vectors are constrained to be positive and constant-sum. In real-world problems, t...
ICDAR
2009
IEEE
15 years 4 months ago
2009
IEEE
With the increasing popularity of digital cameras attached with various handheld devices, many new computational challenges have gained significance. One such problem is extractio...
ICMCS
2007
IEEE
15 years 4 months ago
2007
IEEE
This paper considers extractive summarization of Chinese spoken documents. In contrast to conventional approaches, we attempt to deal with the extractive summarization problem und...
CRV
2005
IEEE
15 years 3 months ago
2005
IEEE
The extraction of optimal features, in a classification sense, is still quite challenging in the context of large-scale classification problems (such as visual recognition), inv...