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» Study on Feature Selection Algorithm in Topic Tracking
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AAAI
2000
15 years 13 days ago
Self-Supervised Learning for Visual Tracking and Recognition of Human Hand
Due to the large variation and richness of visual inputs, statistical learning gets more and more concerned in the practice of visual processing such as visual tracking and recogn...
Ying Wu, Thomas S. Huang
GECCO
2008
Springer
206views Optimization» more  GECCO 2008»
15 years 5 days ago
Improving accuracy of immune-inspired malware detectors by using intelligent features
In this paper, we show that a Bio-inspired classifier’s accuracy can be dramatically improved if it operates on intelligent features. We propose a novel set of intelligent feat...
M. Zubair Shafiq, Syed Ali Khayam, Muddassar Faroo...
SAC
2006
ACM
15 years 5 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
AOSD
2010
ACM
15 years 6 months ago
Tracking code patterns over multiple software versions with Herodotos
An important element of understanding a software code base is to identify the repetitive patterns of code it contains and how these evolve over time. Some patterns are useful to t...
Nicolas Palix, Julia L. Lawall, Gilles Muller
PODS
1999
ACM
121views Database» more  PODS 1999»
15 years 3 months ago
Tracking Join and Self-Join Sizes in Limited Storage
Query optimizers rely on fast, high-quality estimates of result sizes in order to select between various join plans. Selfjoin sizes of relations provide bounds on the join size of...
Noga Alon, Phillip B. Gibbons, Yossi Matias, Mario...