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CVPR
2003
IEEE
14 years 7 months ago
Learning Object Intrinsic Structure for Robust Visual Tracking
In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...
Qiang Wang, Guangyou Xu, Haizhou Ai
FGR
2006
IEEE
170views Biometrics» more  FGR 2006»
13 years 11 months ago
The Isometric Self-Organizing Map for 3D Hand Pose Estimation
We propose an Isometric Self-Organizing Map (ISOSOM) method for nonlinear dimensionality reduction, which integrates a Self-Organizing Map model and an ISOMAP dimension reduction ...
Haiying Guan, Rogério Schmidt Feris, Matthe...
ICML
2005
IEEE
14 years 6 months ago
Intrinsic dimensionality estimation of submanifolds in Rd
We present a new method to estimate the intrinsic dimensionality of a submanifold M in Rd from random samples. The method is based on the convergence rates of a certain U-statisti...
Matthias Hein, Jean-Yves Audibert
SBBD
2000
168views Database» more  SBBD 2000»
13 years 6 months ago
Fast Feature Selection Using Fractal Dimension
Dimensionalitycurse and dimensionalityreduction are two issues that have retained highinterest for data mining, machine learning, multimedia indexing, and clustering. We present a...
Caetano Traina Jr., Agma J. M. Traina, Leejay Wu, ...
CCIA
2008
Springer
13 years 7 months ago
On the Dimensions of Data Complexity through Synthetic Data Sets
Abstract. This paper deals with the characterization of data complexity and the relationship with the classification accuracy. We study three dimensions of data complexity: the len...
Núria Macià, Ester Bernadó-Ma...