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DAGM
2009
Springer
14 years 3 days ago
Multi-view Object Detection Based on Spatial Consistency in a Low Dimensional Space
This paper describes a new approach for detecting objects based on measuring the spatial consistency between different parts of an object. These parts are pre-defined on a set of...
Gurman Gill, Martin Levine
PAKDD
2005
ACM
168views Data Mining» more  PAKDD 2005»
13 years 11 months ago
Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
Junping Zhang, Stan Z. Li
ICRA
2000
IEEE
77views Robotics» more  ICRA 2000»
13 years 10 months ago
Supervised Linear Feature Extraction for Mobile Robot Localization
Nikos A. Vlassis, Yoichi Motomura, Ben J. A. Kr&ou...
ICML
2009
IEEE
14 years 6 months ago
Partially supervised feature selection with regularized linear models
This paper addresses feature selection techniques for classification of high dimensional data, such as those produced by microarray experiments. Some prior knowledge may be availa...
Thibault Helleputte, Pierre Dupont
ICIP
2008
IEEE
14 years 7 months ago
A supervised nonlinear neighborhood embedding of color histogram for image indexing
Subspace learning techniques are widespread in pattern recognition research. They include PCA, ICA, LPP, etc. These techniques are generally linear and unsupervised. The problem o...
Xian-Hua Han, Yen-Wei Chen, Takeshi Sukegawa