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PAMI
2011
14 years 6 months ago
Approximate Nearest Subspace Search
—Subspaces offer convenient means of representing information in many pattern recognition, machine vision, and statistical learning applications. Contrary to the growing populari...
Ronen Basri, Tal Hassner, Lihi Zelnik-Manor
ICML
2005
IEEE
16 years 19 days ago
Learning as search optimization: approximate large margin methods for structured prediction
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
Daniel Marcu, Hal Daumé III
ALGORITHMICA
2011
14 years 6 months ago
An Approximation Algorithm for Binary Searching in Trees
We consider the problem of computing efficient strategies for searching in trees. As a generalization of the classical binary search for ordered lists, suppose one wishes to find...
Eduardo Sany Laber, Marco Molinaro
TKDE
2002
124views more  TKDE 2002»
14 years 11 months ago
Clustering for Approximate Similarity Search in High-Dimensional Spaces
In this paper we present a clustering and indexing paradigm called Clindex for high-dimensional search spaces. The scheme is designed for approximate similarity searches, where on...
Chen Li, Edward Y. Chang, Hector Garcia-Molina, Gi...
CVPR
2007
IEEE
16 years 1 months ago
Approximate Nearest Subspace Search with Applications to Pattern Recognition
Linear and affine subspaces are commonly used to describe appearance of objects under different lighting, viewpoint, articulation, and identity. A natural problem arising from the...
Ronen Basri, Tal Hassner, Lihi Zelnik-Manor