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» Comparing the Performance of Database Selection Algorithms
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JIFS
2008
155views more  JIFS 2008»
14 years 11 months ago
Improving supervised learning performance by using fuzzy clustering method to select training data
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
GLOBECOM
2010
IEEE
14 years 9 months ago
On Comparing the Performance of Dynamic Multi-Network Optimizations
With a large variety of wireless access technologies available, multi-homed devices may strongly improve the performance and reliability of communication when using multiple networ...
Geert Jan Hoekstra, Robert D. van der Mei, J. W. B...
AVSS
2009
IEEE
15 years 4 months ago
Comparative Evaluation of Stationary Foreground Object Detection Algorithms Based on Background Subtraction Techniques
In several video surveillance applications, such as the detection of abandoned/stolen objects or parked vehicles, the detection of stationary foreground objects is a critical task...
Álvaro Bayona, Juan Carlos San Miguel, Jos&...
EDBT
2009
ACM
100views Database» more  EDBT 2009»
15 years 4 months ago
A view selection algorithm with performance guarantee
A view selection algorithm takes as input a fact table and computes a set of views to store in order to speed up queries. The performance of view selection algorithm is usually me...
Nicolas Hanusse, Sofian Maabout, Radu Tofan
94
Voted
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 4 days ago
Consensus group stable feature selection
Stability is an important yet under-addressed issue in feature selection from high-dimensional and small sample data. In this paper, we show that stability of feature selection ha...
Steven Loscalzo, Lei Yu, Chris H. Q. Ding