847 search results - page 109 / 170 » HITS is Principal Components Analysis |
113
Voted
ICIP
2005
IEEE
16 years 2 months ago
2005
IEEE
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
106
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ICDAR
2005
IEEE
15 years 6 months ago
2005
IEEE
– This paper describes a new approach to recognize touching numeral strings. Currently most methods for numeral string recognition require segmenting the string image into separa...
120
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SIBGRAPI
2005
IEEE
15 years 6 months ago
2005
IEEE
A critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and instability of the within-class scatter matrix. In practice, particularly in image recog...
135
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APWEB
2006
Springer
15 years 4 months ago
2006
Springer
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
123
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AAAI
2008
15 years 2 months ago
2008
Recent study has shown that canonical algorithms such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) can be obtained from graph based dimensionality ...