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» Exploiting multiple classifier types with active learning
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SSPR
2004
Springer
14 years 1 days ago
Optimizing Classification Ensembles via a Genetic Algorithm for a Web-Based Educational System
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
PAMI
2006
106views more  PAMI 2006»
13 years 6 months ago
Statistical Analysis of Dynamic Actions
Real-world action recognition applications require the development of systems which are fast, can handle a large variety of actions without a priori knowledge of the type of actio...
Lihi Zelnik-Manor, Michal Irani
CEAS
2007
Springer
13 years 10 months ago
Blog Spam: A Review
Blogs are becoming an increasingly popular target for spammers. The existence of multiple vectors for spam injection, the potential of reaching many eyeballs with a single spam, a...
Adam Thomason
PAMI
2012
11 years 9 months ago
Quantifying and Transferring Contextual Information in Object Detection
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
BIBM
2009
IEEE
192views Bioinformatics» more  BIBM 2009»
14 years 1 months ago
A Multi-task Feature Selection Filter for Microarray Classification
A major challenge in microarray classification and biomarker discovery is dealing with small-sample high-dimensional data where the number of genes used as features is typically o...
Liang Lan, Slobodan Vucetic