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SIGMOD
2004
ACM
140views Database» more  SIGMOD 2004»
16 years 6 months ago
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
Corrine Cheng, Jörg Sander, Samer Nassar
ICDM
2003
IEEE
141views Data Mining» more  ICDM 2003»
15 years 11 months ago
Association Rule Mining in Peer-to-Peer Systems
We extend the problem of association rule mining – a key data mining problem – to systems in which the database is partitioned among a very large number of computers that are ...
Ran Wolff, Assaf Schuster
CVPR
2010
IEEE
15 years 8 months ago
Compact Projection: Simple and Efficient Near Neighbor Search with Practical Memory Requirements
Image similarity search is a fundamental problem in computer vision. Efficient similarity search across large image databases depends critically on the availability of compact ima...
Kerui Min, Linjun Yang, John Wright, Lei Wu, Xian-...
ICDE
2006
IEEE
149views Database» more  ICDE 2006»
16 years 4 days ago
Seaweed: Distributed Scalable Ad Hoc Querying
Many emerging applications such as wide-area network management need to query large, structured, highly distributed datasets. Seaweed is a distributed scalable infrastructure for ...
Richard Mortier, Dushyanth Narayanan, Austin Donne...
CVPR
2008
IEEE
16 years 8 months ago
Sparse probabilistic regression for activity-independent human pose inference
Discriminative approaches to human pose inference involve mapping visual observations to articulated body configurations. Current probabilistic approaches to learn this mapping ha...
Raquel Urtasun, Trevor Darrell