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ICML
2005
IEEE
14 years 9 months ago
Learning from labeled and unlabeled data on a directed graph
We propose a general framework for learning from labeled and unlabeled data on a directed graph in which the structure of the graph including the directionality of the edges is co...
Bernhard Schölkopf, Dengyong Zhou, Jiayuan Hu...
CVPR
2010
IEEE
14 years 5 months ago
Fast Approximate Energy Minimization with Label Costs
The α-expansion algorithm [4] has had a significant impact in computer vision due to its generality, effectiveness, and speed. Thus far it can only minimize energies that involv...
Andrew Delong, Anton Osokin, Hossam Isack, Yuri Bo...
ICML
2005
IEEE
14 years 9 months ago
A model for handling approximate, noisy or incomplete labeling in text classification
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
Ganesh Ramakrishnan, Krishna Prasad Chitrapura, Ra...
STOC
2006
ACM
125views Algorithms» more  STOC 2006»
14 years 9 months ago
On earthmover distance, metric labeling, and 0-extension
We study the fundamental classification problems 0-Extension and Metric Labeling. A generalization of Multiway Cut, 0-Extension is closely related to partitioning problems in grap...
Howard J. Karloff, Subhash Khot, Aranyak Mehta, Yu...
LOGCOM
2002
85views more  LOGCOM 2002»
13 years 8 months ago
Fibring Labelled Deduction Systems
We give a categorial characterization of how labelled deduction systems for logics with a propositional basis behave under unconstrained fibring and under fibring that is constrai...
João Rasga, Amílcar Sernadas, Cristi...