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SODA
2000
ACM
127views Algorithms» more  SODA 2000»
13 years 8 months ago
Dimensionality reduction techniques for proximity problems
In this paper we give approximation algorithms for several proximity problems in high dimensional spaces. In particular, we give the rst Las Vegas data structure for (1 + )-neares...
Piotr Indyk
JMLR
2010
111views more  JMLR 2010»
13 years 2 months ago
Single versus Multiple Sorting in All Pairs Similarity Search
To save memory and improve speed, vectorial data such as images and signals are often represented as strings of discrete symbols (i.e., sketches). Chariker (2002) proposed a fast ...
Yasuo Tabei, Takeaki Uno, Masashi Sugiyama, Koji T...
ICRA
2010
IEEE
343views Robotics» more  ICRA 2010»
13 years 6 months ago
Hands in action: real-time 3D reconstruction of hands in interaction with objects
— This paper presents a method for vision based estimation of the pose of human hands in interaction with objects. Despite the fact that most robotics applications of human hand ...
Javier Romero, Hedvig Kjellström, Danica Krag...
EDBT
2008
ACM
132views Database» more  EDBT 2008»
14 years 7 months ago
Indexing high-dimensional data in dual distance spaces: a symmetrical encoding approach
Due to the well-known dimensionality curse problem, search in a high-dimensional space is considered as a "hard" problem. In this paper, a novel symmetrical encoding-bas...
Yi Zhuang, Yueting Zhuang, Qing Li, Lei Chen 0002,...
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
14 years 7 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon