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» Application of Level Set Methods in Computer Vision
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SAIG
2000
Springer
13 years 11 months ago
Generating Data Analysis Programs from Statistical Models
Extracting information from data, often also called data analysis, is an important scienti c task. Statistical approaches, which use methods from probability theory and numerical a...
Bernd Fischer 0002, Johann Schumann, Thomas Pressb...
KDD
2001
ACM
145views Data Mining» more  KDD 2001»
14 years 8 months ago
Proximal support vector machine classifiers
Given a dataset, each element of which labeled by one of k labels, we construct by a very fast algorithm, a k-category proximal support vector machine (PSVM) classifier. Proximal s...
Glenn Fung, Olvi L. Mangasarian
JMLR
2002
137views more  JMLR 2002»
13 years 7 months ago
The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
Masashi Sugiyama, Klaus-Robert Müller
TVCG
1998
127views more  TVCG 1998»
13 years 7 months ago
Dynamic Catmull-Clark Subdivision Surfaces
—Recursive subdivision schemes have been extensively used in computer graphics, computer-aided geometric design, and scientific visualization for modeling smooth surfaces of arbi...
Hong Qin, Chhandomay Mandal, Baba C. Vemuri
GIS
2008
ACM
14 years 8 months ago
Density based co-location pattern discovery
Co-location pattern discovery is to find classes of spatial objects that are frequently located together. For example, if two categories of businesses often locate together, they ...
Xiangye Xiao, Xing Xie, Qiong Luo, Wei-Ying Ma
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