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ECML
2006
Springer
13 years 11 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...
SDM
2010
SIAM
129views Data Mining» more  SDM 2010»
13 years 5 months ago
Cross-Selling Optimization for Customized Promotion
The profit of a retail product not only comes from its own sales, but also comes from its influence on the sales of other products. How to promote the right products to the righ...
Nan Li, Yinghui Yang, Xifeng Yan
CVPR
2011
IEEE
12 years 11 months ago
Entropy Rate Superpixel Segmentation
We propose a new objective function for superpixel segmentation. This objective function consists of two components: entropy rate of a random walk on a graph and a balancing term....
Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Ram...
ICIP
2006
IEEE
14 years 9 months ago
Max-Min Central Vein Detection in Retinal Fundus Images
This paper describes a new framework for the automated tracking of the central retinal vein in retinal images. The procedure first computes a binary image of the retinal vasculatur...
Hind Azegrouz, Emanuele Trucco
KDD
2008
ACM
178views Data Mining» more  KDD 2008»
14 years 8 months ago
Training structural svms with kernels using sampled cuts
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
Chun-Nam John Yu, Thorsten Joachims