1491 search results - page 35 / 299 » Training Linear Discriminant Analysis in Linear Time |
149
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CVPR
2010
IEEE
15 years 8 months ago
2010
IEEE
Kernel methods provide an efficient mechanism to derive nonlinear algorithms. In classification problems as well as in feature extraction, kernel-based approaches map the original...
144
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VTC
2006
IEEE
15 years 10 months ago
2006
IEEE
Abstract— This paper proposes a maximum likelihood detection (MLD) method for the differential space-time block code (DSTBC) in cooperation with blind linear prediction (BLP) of ...
168
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ICMLA
2008
15 years 5 months ago
2008
Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...
123
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IBPRIA
2003
Springer
15 years 9 months ago
2003
Springer
The main computational cost in Fractal Image Analysis (FIC) comes from the required range-domain full block comparisons. In this work we propose a new algorithm for this comparison...
127
Voted
ISCAS
2006
IEEE
15 years 10 months ago
2006
IEEE
— this paper presents a novel image feature extraction and recognition method two dimensional linear discriminant analysis (2DLDA) in a much smaller subspace. Image representatio...