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SDM
2009
SIAM
180views Data Mining» more  SDM 2009»
14 years 5 months ago
Hierarchical Linear Discriminant Analysis for Beamforming.
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...
Barry L. Drake, Haesun Park, Jaegul Choo
DATAMINE
2006
157views more  DATAMINE 2006»
13 years 8 months ago
Data Clustering with Partial Supervision
Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...
Abdelhamid Bouchachia, Witold Pedrycz
FGR
2006
IEEE
170views Biometrics» more  FGR 2006»
14 years 2 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...
APVIS
2010
13 years 3 months ago
Visual analysis of high dimensional point clouds using topological landscapes
In this paper, we present a novel three-stage process to visualize the structure of point clouds in arbitrary dimensions. To get insight into the structure and complexity of a dat...
Patrick Oesterling, Christian Heine, Heike Jä...
CVPR
2001
IEEE
14 years 10 months ago
A Subspace Approach to Layer Extraction
Representing images with layers has many important applications, such as video compression, motion analysis, and 3D scene analysis. This paper presents an approach to reliably ext...
Qifa Ke, Takeo Kanade