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» Learning Distance Functions using Equivalence Relations
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176
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JMLR
2010
186views more  JMLR 2010»
14 years 8 months ago
Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting
We address instance-based learning from a perceptual organization standpoint and present methods for dimensionality estimation, manifold learning and function approximation. Under...
Philippos Mordohai, Gérard G. Medioni
112
Voted
ICCV
2009
IEEE
14 years 11 months ago
Local distance functions: A taxonomy, new algorithms, and an evaluation
We present a taxonomy for local distance functions where most existing algorithms can be regarded as approximations of the geodesic distance defined by a metric tensor. We categor...
Deva Ramanan, Simon Baker
120
Voted
RSA
2011
106views more  RSA 2011»
14 years 4 months ago
Distances between pairs of vertices and vertical profile in conditioned Galton-Watson trees
We consider a conditioned Galton–Watson tree and prove an estimate of the number of pairs of vertices with a given distance, or, equivalently, the number of paths of a given leng...
Luc Devroye, Svante Janson
ICALP
1998
Springer
15 years 6 months ago
Metric Semantics for True Concurrent Real Time
This paper investigates the use of a complete metric space framework for providing denotational semantics to a real-time process algebra. The study is carried out in a non-interlea...
Christel Baier, Joost-Pieter Katoen, Diego Latella
130
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ACL
2006
15 years 3 months ago
Modeling Commonality among Related Classes in Relation Extraction
This paper proposes a novel hierarchical learning strategy to deal with the data sparseness problem in relation extraction by modeling the commonality among related classes. For e...
Guodong Zhou, Jian Su, Min Zhang