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ECCV
1994
Springer
16 years 8 months ago
Non-parametric Local Transforms for Computing Visual Correspondence
Abstract. We propose a new approach to the correspondence problem that makes use of non-parametric local transforms as the basis for correlation. Non-parametric local transforms re...
Ramin Zabih, John Woodfill
ICML
2005
IEEE
16 years 7 months ago
Predictive low-rank decomposition for kernel methods
Low-rank matrix decompositions are essential tools in the application of kernel methods to large-scale learning problems. These decompositions have generally been treated as black...
Francis R. Bach, Michael I. Jordan
ICDE
2010
IEEE
209views Database» more  ICDE 2010»
16 years 1 months ago
TopCells: Keyword-based search of top-k aggregated documents in text cube
— Previous studies on supporting keyword queries in RDBMSs provide users with a ranked list of relevant linked structures (e.g. joined tuples) or individual tuples. In this paper...
Bolin Ding, Bo Zhao, Cindy Xide Lin, Jiawei Han, C...
ACCV
2009
Springer
16 years 1 months ago
Twisted Cubic: Degeneracy Degree and Relationship with General Degeneracy
Fundamental matrix, drawing geometric relationship between two images, plays an important role in 3-dimensional computer vision. Degenerate configurations of space points and two ...
Tian Lan, Yihong Wu, Zhanyi Hu
FQAS
2009
Springer
127views Database» more  FQAS 2009»
16 years 1 months ago
Finding Top-k Approximate Answers to Path Queries
We consider the problem of finding and ranking paths in semistructured data without necessarily knowing its full structure. The query language we adopt comprises conjunctions of r...
Carlos A. Hurtado, Alexandra Poulovassilis, Peter ...