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» A RELIEF Based Feature Extraction Algorithm
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ICPR
2008
IEEE
14 years 3 months ago
Adaptive context recognition based on audio signal
Auditory data provide many contextual cues about the crucial content of environments around. The goal of audio based context recognition is to equip the sensing devices with class...
Zhi Zeng, Xin Li, Xiaohong Ma, Qiang Ji
MM
2006
ACM
130views Multimedia» more  MM 2006»
14 years 2 months ago
An unsupervised method for clustering images based on their salient regions of interest
We have developed a biologically-motivated, unsupervised way of grouping together images whose salient regions of interest (ROIs) are perceptually similar regardless of the visual...
Gustavo B. Borba, Humberto R. Gamba, Oge Marques, ...
NIPS
2007
13 years 10 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
CIKM
2008
Springer
13 years 10 months ago
Coreex: content extraction from online news articles
We developed and tested a heuristic technique for extracting the main article from news site Web pages. We construct the DOM tree of the page and score every node based on the amo...
Jyotika Prasad, Andreas Paepcke
ISMDA
2005
Springer
14 years 2 months ago
Extracting Molecular Diversity Between Populations Through Sequence Alignments
The use of sequence alignments for establishing protein homology relationships has an extensive tradition in the field of bioinformatics, and there is an increasing desire for more...
Steinar Thorvaldsen, Tor Flå, Nils Willassen