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» Approximate Join Processing Over Data Streams
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PVLDB
2010
122views more  PVLDB 2010»
13 years 7 months ago
On Graph Query Optimization in Large Networks
The dramatic proliferation of sophisticated networks has resulted in a growing need for supporting effective querying and mining methods over such large-scale graph-structured da...
Peixiang Zhao, Jiawei Han
TNN
2008
178views more  TNN 2008»
13 years 8 months ago
IMORL: Incremental Multiple-Object Recognition and Localization
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
Haibo He, Sheng Chen
SIGMOD
2007
ACM
179views Database» more  SIGMOD 2007»
14 years 8 months ago
How to barter bits for chronons: compression and bandwidth trade offs for database scans
Two trends are converging to make the CPU cost of a table scan a more important component of database performance. First, table scans are becoming a larger fraction of the query p...
Allison L. Holloway, Vijayshankar Raman, Garret Sw...
BIBE
2008
IEEE
272views Bioinformatics» more  BIBE 2008»
14 years 3 months ago
Design and implementation of the Smith-Waterman algorithm on the CUDA-compatible GPU
— This paper describes a design and implementation of the Smith-Waterman algorithm accelerated on the graphics processing unit (GPU). Our method is implemented using compute uniï...
Yuma Munekawa, Fumihiko Ino, Kenichi Hagihara
ML
2008
ACM
248views Machine Learning» more  ML 2008»
13 years 8 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...