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170
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CVPR
2004
IEEE
16 years 5 months ago
BoostMap: A Method for Efficient Approximate Similarity Rankings
This paper introduces BoostMap, a method that can significantly reduce retrieval time in image and video database systems that employ computationally expensive distance measures, ...
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, G...
SCCC
2003
IEEE
15 years 9 months ago
Improved Deletions in Dynamic Spatial Approximation Trees
The Dynamic Spatial Approximation Tree (dsa–tree) is a recently proposed data structure for searching in metric spaces. It has been shown that it compares favorably against alte...
Gonzalo Navarro, Nora Reyes
EDBT
2006
ACM
154views Database» more  EDBT 2006»
15 years 7 months ago
Approximation Techniques to Enable Dimensionality Reduction for Voronoi-Based Nearest Neighbor Search
Utilizing spatial index structures on secondary memory for nearest neighbor search in high-dimensional data spaces has been the subject of much research. With the potential to host...
Christoph Brochhaus, Marc Wichterich, Thomas Seidl
198
Voted
JMLR
2010
186views more  JMLR 2010»
14 years 10 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
157
Voted
ISCI
2002
106views more  ISCI 2002»
15 years 3 months ago
Neighborhood operator systems and approximations
This paper presents a framework for the study of generalizing the standard notion of equivalence relation in rough set approximation space with various categories of k-step neighb...
Wei-Zhi Wu, Wen-Xiu Zhang