1313 search results - page 10 / 263 » Dimensionality Reduction for Classification |
ICML
2007
IEEE
16 years 15 days ago
2007
IEEE
This paper presents a Local Learning Projection (LLP) approach for linear dimensionality reduction. We first point out that the well known Principal Component Analysis (PCA) essen...
127
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NPL
2002
14 years 11 months ago
2002
A novel multistage feedforward network is proposed for efficient solving of difficult classification tasks. The standard Radial Basis Functions (RBF) architecture is modified in or...
AVSS
2007
IEEE
15 years 6 months ago
2007
IEEE
This paper addresses the problem of classifying human actions in a video sequence. A representation eigenspace approach based on the PCA algorithm is used to train the classifier...
128
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BMCBI
2010
14 years 11 months ago
2010
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
ACMACE
2008
ACM
15 years 1 months ago
2008
ACM
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...