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PAMI
2006
99views more  PAMI 2006»
13 years 8 months ago
A New Convexity Measure Based on a Probabilistic Interpretation of Images
In this article we present a novel convexity measure for object shape analysis. The proposed method is based on the idea of generating pairs of points from a set, and measuring th...
Esa Rahtu, Mikko Salo, Janne Heikkilä
WADS
2009
Springer
243views Algorithms» more  WADS 2009»
14 years 3 months ago
Resolving Loads with Positive Interior Stresses
We consider the pair (pi, fi) as a force with two-dimensional direction vector fi applied at the point pi in the plane. For a given set of forces we ask for a non-crossing geometri...
Günter Rote, André Schulz
APPML
2002
87views more  APPML 2002»
13 years 8 months ago
Induced layered clusters, hereditary mappings, and convex geometries
A method for structural clustering proposed by the authors is extended to the case when there are externally de ned restrictions on the relations between sets and their elements. ...
Boris Mirkin, Ilya B. Muchnik
NIPS
2007
13 years 10 months ago
Convex Clustering with Exemplar-Based Models
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
Danial Lashkari, Polina Golland
ECSQARU
2009
Springer
14 years 23 days ago
Different Representations of Fuzzy Vectors
Fuzzy vectors were introduced as a description of imprecise quantities whose uncertainty originates from vagueness, not from a probabilistic model. Support functions are a classica...
Jiuzhen Liang, Mirko Navara, Thomas Vetterlein