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ICMLC
2005
Springer
15 years 6 months ago
Kernel-Based Metric Adaptation with Pairwise Constraints
Abstract. Many supervised and unsupervised learning algorithms depend on the choice of an appropriate distance metric. While metric learning for supervised learning tasks has a lon...
Hong Chang, Dit-Yan Yeung
COLING
2008
15 years 2 months ago
Domain Adaptation for Statistical Machine Translation with Domain Dictionary and Monolingual Corpora
tra Statistical machine translation systems are usually trained on large amounts of bilingual text and monolingual text. In this paper, we propose a method to perform domain adapta...
Hua Wu, Haifeng Wang, Chengqing Zong
PAMI
1998
124views more  PAMI 1998»
15 years 11 days ago
Robust Adaptive Segmentation of Range Images
—We propose a novel image segmentation technique using the robust, adaptive least kth order squares (ALKS) estimator which minimizes the kth order statistics of the squared of re...
Kil-Moo Lee, Peter Meer, Rae-Hong Park
SAC
2008
ACM
15 years 6 days ago
Adaptive importance sampling in general mixture classes
In this paper, we propose an adaptive algorithm that iteratively updates both the weights and component parameters of a mixture importance sampling density so as to optimise the p...
Olivier Cappé, Randal Douc, Arnaud Guillin,...
109
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JSAC
2006
96views more  JSAC 2006»
15 years 20 days ago
Price-based distributed algorithms for rate-reliability tradeoff in network utility maximization
Abstract--The current framework of network utility maximization for rate allocation and its price-based algorithms assumes that each link provides a fixed-size transmission "p...
Jang-Won Lee, Mung Chiang, A. Robert Calderbank