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ICML
2002
IEEE
14 years 8 months ago
Active + Semi-supervised Learning = Robust Multi-View Learning
In a multi-view problem, the features of the domain can be partitioned into disjoint subsets (views) that are sufficient to learn the target concept. Semi-supervised, multi-view a...
Ion Muslea, Steven Minton, Craig A. Knoblock
ICPR
2006
IEEE
14 years 8 months ago
Multi-View Active Shape Model with Robust Parameter Estimation
Active Shape Model is an efficient way for localizing objects with variable shapes. When ASM is extended to multiview cases, the parameter estimation approaches in previous works ...
Li Zhang, Haizhou Ai
ICAPR
2005
Springer
14 years 28 days ago
Multi-view EM Algorithm for Finite Mixture Models
In this paper, Multi-View Expectation and Maximization algorithm for finite mixture models is proposed by us to handle realworld learning problems which have natural feature split...
Xing Yi, Yunpeng Xu, Changshui Zhang
NPL
2010
135views more  NPL 2010»
13 years 5 months ago
A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization
The existing Multi-View Learning (MVL) is to discuss how to learn from patterns with multiple information sources and has been proven its superior generalization to the usual Sing...
Zhe Wang, Songcan Chen, Hui Xue, Zhisong Pan
UAI
2008
13 years 8 months ago
Multi-View Learning over Structured and Non-Identical Outputs
In many machine learning problems, labeled training data is limited but unlabeled data is ample. Some of these problems have instances that can be factored into multiple views, ea...
Kuzman Ganchev, João Graça, John Bli...