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» Unsupervised feature selection using a neuro-fuzzy approach
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ICPR
2010
IEEE
14 years 10 months ago
Unsupervised Learning from Linked Documents
Documents in many corpora, such as digital libraries and webpages, contain both content and link information. In a traditional topic model which plays an important role in the uns...
Zhen Guo, Shenghuo Zhu, Yun Chi, Zhongfei Zhang, Y...
ISBI
2008
IEEE
16 years 16 days ago
Mutual information-based feature selection enhances fMRI brain activity classification
In this paper, we adress the question of decoding cognitive information from functional Magnetic Resonance (MR) images using classification techniques. The main bottleneck for acc...
Bertrand Thirion, Cécilia Damon, Vincent Mi...
PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
15 years 6 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eï¬...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld
ICDAR
2009
IEEE
14 years 9 months ago
Selecting Features in On-Line Handwritten Whiteboard Note Recognition: SFS or SFFS?
When selecting features with the sequential forward floating selection (SFFS), the "nesting effect" is avoided, which is a common phenomenon if the computationally less ...
Joachim Schenk, Moritz Kaiser, Gerhard Rigoll
JSA
2006
97views more  JSA 2006»
14 years 11 months ago
Dynamic feature selection for hardware prediction
It is often possible to greatly improve the performance of a hardware system via the use of predictive (speculative) techniques. For example, the performance of out-of-order micro...
Alan Fern, Robert Givan, Babak Falsafi, T. N. Vija...