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ICML
2008
IEEE
15 years 10 months ago
Stopping conditions for exact computation of leave-one-out error in support vector machines
We propose a new stopping condition for a Support Vector Machine (SVM) solver which precisely reflects the objective of the Leave-OneOut error computation. The stopping condition ...
Klaus-Robert Müller, Pavel Laskov, Vojtech Fr...
CVPR
2007
IEEE
15 years 12 months ago
Learning Gaussian Conditional Random Fields for Low-Level Vision
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
Marshall F. Tappen, Ce Liu, Edward H. Adelson, Wil...
ICML
2004
IEEE
15 years 10 months ago
Training conditional random fields via gradient tree boosting
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
Thomas G. Dietterich, Adam Ashenfelter, Yaroslav B...
ICMCS
2007
IEEE
132views Multimedia» more  ICMCS 2007»
15 years 4 months ago
A Scheme for Haptic Data Transmission Under Various Network Conditions
Haptic Collaboration Virtual Environment (HCVE) is an enhanced virtual reality space that supports sense of touch, which is called “haptic”. In HCVE, remote users connected ov...
Yonghee You, Mee Young Sung, Kyungkoo Jun
ICML
2010
IEEE
14 years 11 months ago
Conditional Topic Random Fields
Generative topic models such as LDA are limited by their inability to utilize nontrivial input features to enhance their performance, and many topic models assume that topic assig...
Jun Zhu, Eric P. Xing