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ICANN
2005
Springer
16 years 19 days ago
The LCCP for Optimizing Kernel Parameters for SVM
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
Sabri Boughorbel, Jean-Philippe Tarel, Nozha Bouje...
GIS
2009
ACM
15 years 11 months ago
Dynamic network data exploration through semi-supervised functional embedding
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...
Alexei Pozdnoukhov
CSB
2004
IEEE
149views Bioinformatics» more  CSB 2004»
15 years 11 months ago
Weighting Features to Recognize 3D Patterns of Electron Density in X-Ray Protein Crystallography
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...
Kreshna Gopal, Tod D. Romo, James C. Sacchettini, ...
DAGM
2006
Springer
15 years 10 months ago
Nonparametric Density Estimation for Human Pose Tracking
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...
Thomas Brox, Bodo Rosenhahn, Uwe G. Kersting, Dani...
ICCV
1995
IEEE
15 years 10 months ago
Object Indexing Using an Iconic Sparse Distributed Memory
A general-purpose object indexingtechnique is described that combines the virtues of principal component analysis with the favorable matching properties of high-dimensional spaces...
Rajesh P. N. Rao, Dana H. Ballard