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» Minimization and Partitioning Method Reducing Input Sets
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KDD
2006
ACM
173views Data Mining» more  KDD 2006»
16 years 1 months ago
Robust information-theoretic clustering
How do we find a natural clustering of a real world point set, which contains an unknown number of clusters with different shapes, and which may be contaminated by noise? Most clu...
Christian Böhm, Christos Faloutsos, Claudia P...
85
Voted
DCC
2008
IEEE
16 years 1 months ago
Practical Entropy-Bounded Schemes for O(1)-Range Minimum Queries
The Range Minimum Query (RMQ) Problem is to preprocess an array A of length n in O(n) time such that subsequent on-line queries asking for the position of a minimal element between...
Johannes Fischer, Volker Heun, Horst Martin St&uum...
ICCV
2007
IEEE
15 years 7 months ago
Shape Priors using Manifold Learning Techniques
We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a category o...
Patrick Etyngier, Florent Ségonne, Renaud K...
132
Voted
ICCV
1999
IEEE
15 years 5 months ago
Epipolar Geometry Estimation by Tensor Voting in 8D
We present a novel, efficient, initializationfree approach to the problem of epipolar geometry estimation, by formulating it as one of hyperplane inference from a sparse and noisy...
Chi-Keung Tang, Gérard G. Medioni, Mi-Suen ...
KDD
2002
ACM
148views Data Mining» more  KDD 2002»
16 years 1 months ago
Discovering informative content blocks from Web documents
In this paper, we propose a new approach to discover informative contents from a set of tabular documents (or Web pages) of a Web site. Our system, InfoDiscoverer, first partition...
Shian-Hua Lin, Jan-Ming Ho