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TKDE
2012
245views Formal Methods» more  TKDE 2012»
11 years 10 months ago
Semi-Supervised Maximum Margin Clustering with Pairwise Constraints
—The pairwise constraints specifying whether a pair of samples should be grouped together or not have been successfully incorporated into the conventional clustering methods such...
Hong Zeng, Yiu-ming Cheung
PAKDD
2005
ACM
114views Data Mining» more  PAKDD 2005»
14 years 1 months ago
Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data
The availability of microarray data has enabled several studies on the application of aggregated classifiers for molecular classification. We present a combination of classifier ag...
Chia Huey Ooi, Madhu Chetty
AAAI
2011
12 years 7 months ago
Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions
Automated feature discovery is a fundamental problem in machine learning. Although classical feature discovery methods do not guarantee optimal solutions in general, it has been r...
Xinhua Zhang, Yaoliang Yu, Martha White, Ruitong H...
ICASSP
2011
IEEE
12 years 11 months ago
A convex approximation approach to weighted sum rate maximization of multiuser MISO interference channel under outage constraint
This paper considers weighted sum rate maximization of multiuser multiple-input single-output interference channel (MISO-IFC) under outage constraints. The outage-constrained weig...
Wei-Chiang Li, Tsung-Hui Chang, Che Lin, Chong-Yun...
CVPR
2012
IEEE
11 years 10 months ago
What is optimized in tight convex relaxations for multi-label problems?
In this work we present a unified view on Markov random fields and recently proposed continuous tight convex relaxations for multi-label assignment in the image plane. These rel...
Christopher Zach, Christian Hane, Marc Pollefeys