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» Semi-supervised Learning from General Unlabeled Data
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ICASSP
2010
IEEE
13 years 8 months ago
Fast semi-supervised image segmentation by novelty selection
The goal of semi-supervised image segmentation is to obtain the segmentation from a partially labeled image. By utilizing the image manifold structure in labeled and unlabeled pix...
António R. C. Paiva, Tolga Tasdizen
COLT
2008
Springer
13 years 9 months ago
An Information Theoretic Framework for Multi-view Learning
In the multi-view learning paradigm, the input variable is partitioned into two different views X1 and X2 and there is a target variable Y of interest. The underlying assumption i...
Karthik Sridharan, Sham M. Kakade
IRI
2003
IEEE
14 years 1 months ago
Generalizing Interface Design Knowledge: Lessons Learned from Developing a Claims Library
The experience of preparing interface design knowledge to be reusable allows reflection on the process, potential, and general challenges of effectively and efficiently using this...
Catherine Payne, C. F. Allgood, Christa M. Chewar,...
ICPR
2010
IEEE
14 years 1 months ago
Unsupervised Learning of Stroke Tagger for Online Kanji Handwriting Recognition
—Traditionally, HMM-based approaches to online Kanji handwriting recognition have relied on a hand-made dictionary, mapping characters to primitives such as strokes or substrokes...
Mathieu Blondel, Kazuhiro Seki, Kuniaki Uehara
APIN
2004
81views more  APIN 2004»
13 years 7 months ago
Learning Generalized Policies from Planning Examples Using Concept Languages
In this paper we are concerned with the problem of learning how to solve planning problems in one domain given a number of solved instances. This problem is formulated as the probl...
Mario Martin, Hector Geffner