1875 search results - page 132 / 375 » Kernel Methods for Pattern Analysis |
131
Voted
ICDAR
2003
IEEE
15 years 5 months ago
2003
IEEE
Classifying an unknown input is a fundamental problem in pattern recognition. A common method is to define a distance metric between patterns and find the most similar pattern i...
PR
2002
15 years 7 days ago
2002
The authors of this paper adopted the projected characteristics of the absolute conic in terms of the Pascal's theorem to propose an entirely new camera calibration method ba...
199
Voted
NECO
2011
14 years 7 months ago
2011
Accurately evaluating statistical independence among random variables is a key element of Independent Component Analysis (ICA). In this paper, we employ a squared-loss variant of ...
111
Voted
CSDA
2008
15 years 20 days ago
2008
In the rapidly evolving field of genomics, many clustering and classification methods have been developed and employed to explore patterns in gene expression data. Biologists face...
121
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ACII
2005
Springer
15 years 2 months ago
2005
Springer
The null space N(St) of total scatter matrix St contains no useful information for pattern classification. So, discarding the null space N(St) results in dimensionality reduction ...