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» Feature Selection and Effective Classifiers
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ICMCS
2009
IEEE
215views Multimedia» more  ICMCS 2009»
15 years 1 months ago
Image trimming via saliency region detection and iterative feature matching
Detection of saliency regions in images is useful for object based image understanding and object localization. In our work, we investigate a saliency region detection algorithm b...
Jiawei Huang, Ze-Nian Li
144
Voted
BMCBI
2006
200views more  BMCBI 2006»
15 years 3 months ago
Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data
Background: Numerous feature selection methods have been applied to the identification of differentially expressed genes in microarray data. These include simple fold change, clas...
Ian B. Jeffery, Desmond G. Higgins, Aedín C...
105
Voted
SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
15 years 5 months ago
Co-selection of Features and Instances for Unsupervised Rare Category Analysis
Rare category analysis is of key importance both in theory and in practice. Previous research work focuses on supervised rare category analysis, such as rare category detection an...
Jingrui He, Jaime G. Carbonell
115
Voted
ICWSM
2008
15 years 5 months ago
An Automatic Classification of Book Texts to User-Defined Tags
We describe work on automatically assigning labels to books using user-defined tags as the label set. Using supervised learning and exploring both binary and multiclass classifica...
Sharon Givon, Theresa Wilson
126
Voted
ECCV
2010
Springer
15 years 4 months ago
Towards Computational Models of Visual Aesthetic Appeal of Consumer Videos
In this paper, we tackle the problem of characterizing the aesthetic appeal of consumer videos and automatically classifying them into high or low aesthetic appeal. First, we condu...