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CVPR
2007
IEEE
14 years 11 months ago
Adaptive Distance Metric Learning for Clustering
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
Jieping Ye, Zheng Zhao, Huan Liu
KDD
2000
ACM
133views Data Mining» more  KDD 2000»
14 years 16 days ago
Data selection for support vector machine classifiers
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
Glenn Fung, Olvi L. Mangasarian
ICRA
2010
IEEE
121views Robotics» more  ICRA 2010»
13 years 7 months ago
Planes, trains and automobiles - autonomy for the modern robot
—We are concerned with enabling truly large scale autonomous navigation in typical human environments. To this end we describe the acquisition and modeling of large urban spaces ...
Gabe Sibley, Christopher Mei, Ian D. Reid, Paul M....
CGF
2010
218views more  CGF 2010»
13 years 9 months ago
Mesh Snapping: Robust Interactive Mesh Cutting Using Fast Geodesic Curvature Flow
This paper considers the problem of interactively finding the cutting contour to extract components from a given mesh. Some existing methods support cuts of arbitrary shape but re...
Juyong Zhang, Chunlin Wu, Jianfei Cai, Jianmin Zhe...
CVPR
2007
IEEE
14 years 11 months ago
Robust Click-Point Linking: Matching Visually Dissimilar Local Regions
This paper presents robust click-point linking: a novel localized registration framework that allows users to interactively prescribe where the accuracy has to be high. By emphasi...
Kazunori Okada, Xiaolei Huang