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ICANN
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
GIS
2009
ACM
15 years 1 months ago
2009
ACM
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
CSB
2004
IEEE
15 years 1 months ago
2004
IEEE
Feature selection and weighting are central problems in pattern recognition and instance-based learning. In this work, we discuss the challenges of constructing and weighting feat...
DAGM
2006
Springer
15 years 1 months ago
2006
Springer
The present paper considers the supplement of prior knowledge about joint angle configurations in the scope of 3-D human pose tracking. Training samples obtained from an industrial...
ICCV
1995
IEEE
15 years 1 months ago
1995
IEEE
A general-purpose object indexingtechnique is described that combines the virtues of principal component analysis with the favorable matching properties of high-dimensional spaces...