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» Is Combining Classifiers Better than Selecting the Best One
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ILP
2007
Springer
14 years 1 months ago
Using ILP to Construct Features for Information Extraction from Semi-structured Text
Machine-generated documents containing semi-structured text are rapidly forming the bulk of data being stored in an organisation. Given a feature-based representation of such data,...
Ganesh Ramakrishnan, Sachindra Joshi, Sreeram Bala...
ICPP
1998
IEEE
13 years 12 months ago
Routing Algorithms for Anycast Messages
Use of anycast service can considerably simplify many communication applications. Two approaches can be used for routing anycast packets. Single-path routing always uses the same ...
Dong Xuan, Weijia Jia, Wei Zhao
BMCBI
2007
175views more  BMCBI 2007»
13 years 7 months ago
Fast automated cell phenotype image classification
Background: The genomic revolution has led to rapid growth in sequencing of genes and proteins, and attention is now turning to the function of the encoded proteins. In this respe...
Nicholas A. Hamilton, Radosav S. Pantelic, Kelly H...
AAAI
2004
13 years 9 months ago
Text Classification by Labeling Words
Traditionally, text classifiers are built from labeled training examples. Labeling is usually done manually by human experts (or the users), which is a labor intensive and time co...
Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu
PR
2008
159views more  PR 2008»
13 years 7 months ago
A two-stage head pose estimation framework and evaluation
Head pose is an important indicator of a person's focus of attention. Also, head pose estimation can be used as the front-end analysis for multi-view face analysis. For examp...
Junwen Wu, Mohan M. Trivedi