194 search results - page 20 / 39 » Subspace Regularization: A New Semi-supervised Learning Meth... |
128
Voted
ESANN
2004
15 years 3 months ago
2004
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
121
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ICIP
2004
IEEE
16 years 3 months ago
2004
IEEE
It is well-known that the applicability of Linear Discriminant Analysis (LDA) to high-dimensional pattern classification tasks such as face recognition (FR) often suffers from the...
136
Voted
TIP
2008
15 years 1 months ago
2008
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
133
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CVPR
2007
IEEE
16 years 3 months ago
2007
IEEE
This paper presents a new incremental learning solution for Linear Discriminant Analysis (LDA). We apply the concept of the sufficient spanning set approximation in each update st...
140
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CIKM
2010
Springer
14 years 11 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...