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» Maximal Vector Computation in Large Data Sets
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111
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ICASSP
2011
IEEE
14 years 8 months ago
Time-frequency analysis compensating missing data for Atrial Fibrillation ECG assessment
We propose a novel algorithm for temporal tracking of the fibrillatory frequency for Atrial Fibrillation (AF) ECG. Both Atrial activity extraction and fibrillatory frequency tra...
Sandun Kodituwakku, Rodney A. Kennedy, Thushara D....
COLING
2002
15 years 4 months ago
Effective Structural Inference for Large XML Documents
This paper investigates methods to automatically infer structural information from large XML documents. Using XML as a reference format, we approach the schema generation problem ...
Jason Sankey, Raymond K. Wong
CIBCB
2005
IEEE
15 years 10 months ago
Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization
Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...
E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
SOFSEM
2009
Springer
16 years 1 months ago
Weaknesses of Cuckoo Hashing with a Simple Universal Hash Class: The Case of Large Universes
Cuckoo hashing was introduced by Pagh and Rodler in 2001 [12]. A set S of n keys is stored in two tables T1 and T2 each of which has m cells of capacity 1 such that constant access...
Martin Dietzfelbinger, Ulf Schellbach
290
Voted
ICAC
2009
IEEE
15 years 11 months ago
Applying genetic algorithms to decision making in autonomic computing systems
Increasingly, applications need to be able to self-reconfigure in response to changing requirements and environmental conditions. Autonomic computing has been proposed as a means...
Andres J. Ramirez, David B. Knoester, Betty H. C. ...