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SIGMOD
2001
ACM
184views Database» more  SIGMOD 2001»
14 years 5 months ago
Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases
Similarity search in large time series databases has attracted much research interest recently. It is a difficult problem because of the typically high dimensionality of the data....
Eamonn J. Keogh, Kaushik Chakrabarti, Sharad Mehro...
SIGMOD
2010
ACM
324views Database» more  SIGMOD 2010»
13 years 10 months ago
Similarity search and locality sensitive hashing using ternary content addressable memories
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Rajendra Shinde, Ashish Goel, Pankaj Gupta, Debojy...
NAR
2011
176views Computer Vision» more  NAR 2011»
12 years 8 months ago
IUPHAR-DB: new receptors and tools for easy searching and visualization of pharmacological data
The IUPHAR database is an established online reference resource for several important classes of human drug targets and related proteins. As well as providing recommended nomencla...
Joanna L. Sharman, Chidochangu P. Mpamhanga, Micha...
ECCV
2002
Springer
14 years 7 months ago
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...
Hedvig Sidenbladh, Michael J. Black, Leonid Sigal
EDBT
2009
ACM
277views Database» more  EDBT 2009»
13 years 10 months ago
G-hash: towards fast kernel-based similarity search in large graph databases
Structured data including sets, sequences, trees and graphs, pose significant challenges to fundamental aspects of data management such as efficient storage, indexing, and simila...
Xiaohong Wang, Aaron M. Smalter, Jun Huan, Gerald ...