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» The Inverse Classification Problem
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CVPR
2006
IEEE
16 years 4 months ago
Semi-Supervised Classification Using Linear Neighborhood Propagation
We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...
Fei Wang, Changshui Zhang, Helen C. Shen, Jingdong...
153
Voted
CN
2004
256views more  CN 2004»
15 years 2 months ago
A line in the sand: a wireless sensor network for target detection, classification, and tracking
Intrusion detection is a surveillance problem of practical import that is well suited to wireless sensor networks. In this paper, we study the application of sensor networks to the...
Anish Arora, Prabal Dutta, Sandip Bapat, Vinod Kul...
ISBI
2011
IEEE
14 years 6 months ago
Group sparsity based classification for cervigram segmentation
This paper presents an algorithm to classify pixels in uterine cervix images into two classes, namely normal and abnormal tissues, and simultaneously select relevant features, usi...
Yang Yu, Junzhou Huang, Shaoting Zhang, Christophe...
NPL
2008
100views more  NPL 2008»
15 years 2 months ago
Comparing Combination Rules of Pairwise Neural Networks Classifiers
A decomposition approach to multiclass classification problems consists in decomposing a multiclass problem into a set of binary ones. Decomposition splits the complete multiclass ...
Olivier Lezoray, Hubert Cardot
109
Voted
ICML
2007
IEEE
16 years 3 months ago
Discriminative learning for differing training and test distributions
We address classification problems for which the training instances are governed by a distribution that is allowed to differ arbitrarily from the test distribution--problems also ...
Michael Brückner, Steffen Bickel, Tobias Sche...