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» Feature Selection for Support Vector Machines
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138
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BMCBI
2004
140views more  BMCBI 2004»
15 years 2 months ago
What can we learn from noncoding regions of similarity between genomes?
Background: In addition to known protein-coding genes, large amounts of apparently non-coding sequence are conserved between the human and mouse genomes. It seems reasonable to as...
Thomas A. Down, Tim J. P. Hubbard
135
Voted
ICWSM
2009
15 years 14 days ago
Targeting Sentiment Expressions through Supervised Ranking of Linguistic Configurations
User generated content is extremely valuable for mining market intelligence because it is unsolicited. We study the problem of analyzing users' sentiment and opinion in their...
Jason S. Kessler, Nicolas Nicolov
111
Voted
KDD
2007
ACM
139views Data Mining» more  KDD 2007»
16 years 3 months ago
Raising the baseline for high-precision text classifiers
Many important application areas of text classifiers demand high precision and it is common to compare prospective solutions to the performance of Naive Bayes. This baseline is us...
Aleksander Kolcz, Wen-tau Yih
125
Voted
AMFG
2003
IEEE
152views Biometrics» more  AMFG 2003»
15 years 8 months ago
Fully Automatic Upper Facial Action Recognition
This paper provides a new fully automatic framework to analyze facial action units, the fundamental building blocks of facial expression enumerated in Paul Ekman’s Facial Action...
Ashish Kapoor, Yuan (Alan) Qi, Rosalind W. Picard
195
Voted
MEDIAFORENSICS
2010
15 years 4 months ago
Detecting content adaptive scaling of images for forensic applications
Content-aware resizing methods have recently been developed, among which, seam-carving has achieved the most widespread use. Seam-carving's versatility enables deliberate obj...
Claude Fillion, Gaurav Sharma