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TNN
2010
176views Management» more  TNN 2010»
14 years 8 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
CGF
2007
134views more  CGF 2007»
15 years 1 months ago
3D Lip-Synch Generation with Data-Faithful Machine Learning
This paper proposes a new technique for generating three-dimensional speech animation. The proposed technique takes advantage of both data-driven and machine learning approaches. ...
Ig-Jae Kim, Hyeong-Seok Ko
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 2 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...
PRL
2008
133views more  PRL 2008»
15 years 1 months ago
Better multiclass classification via a margin-optimized single binary problem
We develop a new multiclass classification method that reduces the multiclass problem to a single binary classifier (SBC). Our method constructs the binary problem by embedding sm...
Ran El-Yaniv, Dmitry Pechyony, Elad Yom-Tov
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
16 years 2 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