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» Evaluating Usefulness for Dynamic Classification
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150
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KDD
2008
ACM
174views Data Mining» more  KDD 2008»
16 years 4 months ago
Effective label acquisition for collective classification
Information diffusion, viral marketing, and collective classification all attempt to model and exploit the relationships in a network to make inferences about the labels of nodes....
Mustafa Bilgic, Lise Getoor
165
Voted
MIR
2010
ACM
167views Multimedia» more  MIR 2010»
15 years 10 months ago
Improving automatic music classification performance by extracting features from different types of data
This paper discusses two sets of automatic musical genre classification experiments. Promising research directions are then proposed based on the results of these experiments. The...
Cory McKay, Ichiro Fujinaga
PR
2008
159views more  PR 2008»
15 years 3 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
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 4 months ago
Effective multi-label active learning for text classification
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
Bishan Yang, Jian-Tao Sun, Tengjiao Wang, Zheng Ch...
140
Voted
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
16 years 4 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe