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» Learning Distance Functions using Equivalence Relations
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ICCV
2011
IEEE
12 years 8 months ago
Correspondence Free Registration through a Point-to-Model Distance Minimization
This paper presents a novel formulation, which derives in a smooth minimization problem, to tackle the rigid registration between a given point set and a model set. Unlike most of ...
Mohammad Rouhani and Angel D. Sappa
SMI
2008
IEEE
198views Image Analysis» more  SMI 2008»
14 years 4 months ago
Anisotropic geodesic distance computation for parametric surfaces
The distribution of geometric features is anisotropic by its nature. Intrinsic properties of surfaces such as normal curvatures, for example, varies with direction. In this paper ...
Joon-Kyung Seong, Won-Ki Jeong, Elaine Cohen
ALT
2006
Springer
14 years 6 months ago
Learning Linearly Separable Languages
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
DICTA
2007
13 years 11 months ago
Fuzzy Model Based Recognition of Handwritten Hindi Characters
This paper presents the recognition of handwritten Hindi Characters based on the modified exponential membership function fitted to the fuzzy sets derived from features consisting...
Madasu Hanmandlu, O. V. Ramana Murthy, Vamsi Krish...
WWW
2008
ACM
14 years 10 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...