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» DBM-Tree: A Dynamic Metric Access Method Sensitive to Local ...
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SBBD
2004
89views Database» more  SBBD 2004»
13 years 5 months ago
DBM-Tree: A Dynamic Metric Access Method Sensitive to Local Density Data
Metric Access Methods (MAM) are employed to accelerate the processing of similarity queries, such as the range and the k-nearest neighbor queries. Current methods improve the quer...
Marcos R. Vieira, Caetano Traina Jr., Fabio Jun Ta...
DEXA
2006
Springer
190views Database» more  DEXA 2006»
13 years 8 months ago
High-Dimensional Similarity Search Using Data-Sensitive Space Partitioning
Abstract. Nearest neighbor search has a wide variety of applications. Unfortunately, the majority of search methods do not scale well with dimensionality. Recent efforts have been ...
Sachin Kulkarni, Ratko Orlandic
PAMI
2010
180views more  PAMI 2010»
12 years 11 months ago
Point Set Registration via Particle Filtering and Stochastic Dynamics
In this paper, we propose a particle filtering approach for the problem of registering two point sets that differ by a rigid body transformation. Typically, registration algorithms...
Romeil Sandhu, Samuel Dambreville, Allen Tannenbau...
CVPR
2008
IEEE
14 years 6 months ago
Particle filtering for registration of 2D and 3D point sets with stochastic dynamics
In this paper, we propose a particle filtering approach for the problem of registering two point sets that differ by a rigid body transformation. Typically, registration algorithm...
Romeil Sandhu, Samuel Dambreville, Allen Tannenbau...
WWW
2005
ACM
14 years 5 months ago
User-centric Web crawling
Search engines are the primary gateways of information access on the Web today. Behind the scenes, search engines crawl the Web to populate a local indexed repository of Web pages...
Sandeep Pandey, Christopher Olston