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PPAM
2005
Springer
15 years 6 months ago
Chromatic Scheduling of 1- and 2-Processor UET Tasks on Dedicated Machines with Availability Constraints
We address a generalization of the classical 1- and 2-processor UET scheduling problem on dedicated machines. In our chromatic model of scheduling machines have non-simultaneous av...
Krzysztof Giaro, Marek Kubale
133
Voted
CVPR
2012
IEEE
13 years 2 months ago
Non-negative low rank and sparse graph for semi-supervised learning
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma...
126
Voted
ICDM
2009
IEEE
154views Data Mining» more  ICDM 2009»
14 years 10 months ago
GSML: A Unified Framework for Sparse Metric Learning
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
Kaizhu Huang, Yiming Ying, Colin Campbell
CIKM
2008
Springer
15 years 2 months ago
Identifying table boundaries in digital documents via sparse line detection
Most prior work on information extraction has focused on extracting information from text in digital documents. However, often, the most important information being reported in an...
Ying Liu, Prasenjit Mitra, C. Lee Giles
ICANN
2007
Springer
15 years 4 months ago
Resilient Approximation of Kernel Classifiers
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
Thorsten Suttorp, Christian Igel