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» Temporal Data Classification Using Linear Classifiers
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ICPR
2008
IEEE
16 years 4 months ago
Multiple view based 3D object classification using ensemble learning of local subspaces
Multiple observation improves the performance of 3D object classification. However, since the distribution of feature vectors obtained from multiple view points have strong nonlin...
Jianing Wu, Kazuhiro Fukui
EMNLP
2008
15 years 4 months ago
Jointly Combining Implicit Constraints Improves Temporal Ordering
Previous work on ordering events in text has typically focused on local pairwise decisions, ignoring globally inconsistent labels. However, temporal ordering is the type of domain...
Nathanael Chambers, Daniel Jurafsky
ICMCS
2006
IEEE
151views Multimedia» more  ICMCS 2006»
15 years 9 months ago
Support Vector Machine for Multiple Feature Classifcation
In this paper an effective method of using SVM classifier for multiple feature classification is proposed. Compared with traditional combination methods where all needed base clas...
Bing-Yu Sun, Moon-Chuen Lee
COMPSAC
1997
IEEE
15 years 7 months ago
Classifying Architectural Elements as a Foundation for Mechanism Matching
Building a system at the architectural level can be thought of as decomposition into components followed by a series of exercises in matching. Components must be composed with eac...
Rick Kazman, Paul C. Clements, Leonard J. Bass, Gr...
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 3 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford