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» Experimental Comparison of Feature Subset Selection Methods
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SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
15 years 7 months ago
Cluster Ensemble Selection
This paper studies the ensemble selection problem for unsupervised learning. Given a large library of different clustering solutions, our goal is to select a subset of solutions t...
Xiaoli Z. Fern, Wei Lin
ICPR
2008
IEEE
16 years 7 months ago
Efficient video text detection using edge features
In this paper, we explore new edge features such as straightness for the elimination of non significant edges from the segmented text portion of a video frame to detect accurate b...
Palaiahnakote Shivakumara, Weihua Huang, Chew Lim ...
CVPR
2007
IEEE
16 years 8 months ago
Combining Static Classifiers and Class Syntax Models for Logical Entity Recognition in Scanned Historical Documents
Class syntax can be used to 1) model temporal or locational evolvement of class labels of feature observation sequences, 2) correct classification errors of static classifiers if ...
Song Mao, Praveer Mansukhani, George R. Thoma
BMCBI
2010
115views more  BMCBI 2010»
15 years 6 months ago
Assessment and optimisation of normalisation methods for dual-colour antibody microarrays
Background: Recent advances in antibody microarray technology have made it possible to measure the expression of hundreds of proteins simultaneously in a competitive dual-colour a...
Martin Sill, Christoph Schroder, Jörg D. Hohe...
EMNLP
2009
15 years 3 months ago
Automatically Evaluating Content Selection in Summarization without Human Models
We present a fully automatic method for content selection evaluation in summarization that does not require the creation of human model summaries. Our work capitalizes on the assu...
Annie Louis, Ani Nenkova