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» Learning from Ambiguously Labeled Examples
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NAACL
2003
14 years 6 days ago
Active Learning for Classifying Phone Sequences from Unsupervised Phonotactic Models
This paper describes an application of active learning methods to the classification of phone strings recognized using unsupervised phonotactic models. The only training data req...
Shona Douglas
CVPR
2006
IEEE
15 years 26 days ago
Graph Laplacian Kernels for Object Classification from a Single Example
Classification with only one labeled example per class is a challenging problem in machine learning and pattern recognition. While there have been some attempts to address this pr...
Hong Chang, Dit-Yan Yeung
CVPR
2007
IEEE
15 years 26 days ago
Using Group Prior to Identify People in Consumer Images
While face recognition techniques have rapidly advanced in the last few years, most of the work is in the domain of security applications. For consumer imaging applications, perso...
Andrew C. Gallagher, Tsuhan Chen
VL
1999
IEEE
134views Visual Languages» more  VL 1999»
14 years 3 months ago
Ambiguity in Visual Language Theory and Its Role in Diagram Parsing
To take advantage of the ever-increasing volume of diagrams in electronic form, it is crucial that we have methods for parsing diagrams. Once a structured, content-based descripti...
Robert P. Futrelle
AAAI
2010
14 years 9 days ago
Multi-Label Learning with Weak Label
Multi-label learning deals with data associated with multiple labels simultaneously. Previous work on multi-label learning assumes that for each instance, the "full" lab...
Yu-Yin Sun, Yin Zhang, Zhi-Hua Zhou