5802 search results - page 190 / 1161 » Parallelizing Feature Selection |
133
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ICMCS
2006
IEEE
15 years 9 months ago
2006
IEEE
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
143
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CVPR
1998
IEEE
15 years 6 months ago
1998
IEEE
Most of behavior recognition methods proposed so far share the limitations of bottom-up analysis, and singleobject assumption; the bottom-up analysis can be confused by erroneous ...
111
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CSREAESA
2004
15 years 4 months ago
2004
For many years, C has been known as a fast, yet unfriendly language. Similarly, Java presents its own trade-offs, including more advanced language features at the cost of slower ex...
125
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ETS
2011
IEEE
14 years 2 months ago
2011
IEEE
—As circuits continue to scale to smaller feature sizes, wearout and latent defects are expected to cause an increasing number of errors in the field. Online error detection tec...
152
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SAC
2006
ACM
15 years 9 months ago
2006
ACM
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...