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» A Distance-Based Packing Method for High Dimensional Data
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IJCAI
2007
13 years 11 months ago
A Subspace Kernel for Nonlinear Feature Extraction
Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive...
Mingrui Wu, Jason D. R. Farquhar
CVPR
2008
IEEE
14 years 12 months ago
Spectral methods for semi-supervised manifold learning
Given a finite number of data points sampled from a low-dimensional manifold embedded in a high dimensional space together with the parameter vectors for a subset of the data poin...
Zhenyue Zhang, Hongyuan Zha, Min Zhang
MICCAI
2006
Springer
14 years 11 months ago
GPU Based Real-Time Instrument Tracking with Three Dimensional Ultrasound
Abstract. Real-time 3D ultrasound can enable new image-guided surgical procedures, but high data rates prohibit the use of traditional tracking techniques. We present a new method ...
Paul M. Novotny, Jeffrey A. Stoll, Nikolay V. Vasi...
KDD
2002
ACM
1075views Data Mining» more  KDD 2002»
14 years 10 months ago
CLOPE: a fast and effective clustering algorithm for transactional data
This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic m...
Yiling Yang, Xudong Guan, Jinyuan You
TOG
2002
212views more  TOG 2002»
13 years 9 months ago
Least squares conformal maps for automatic texture atlas generation
A Texture Atlas is an efficient color representation for 3D Paint Systems. The model to be textured is decomposed into charts homeomorphic to discs, each chart is parameterized, a...
Bruno Lévy, Sylvain Petitjean, Nicolas Ray,...