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» Semi-supervised Learning for Handwriting Recognition
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CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
13 years 7 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
ICPR
2010
IEEE
13 years 11 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
CIKM
2008
Springer
13 years 7 months ago
Classifying networked entities with modularity kernels
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
Dell Zhang, Robert Mao
ICDAR
2011
IEEE
12 years 5 months ago
Co-training for Handwritten Word Recognition
—To cope with the tremendous variations of writing styles encountered between different individuals, unconstrained automatic handwriting recognition systems need to be trained on...
Volkmar Frinken, Andreas Fischer, Horst Bunke, Ali...
ICMCS
2006
IEEE
136views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Towards the Application of a Handwriting Interface for Mathematics Learning
We believe handwriting input may be able to provide significant advantages over typing, especially in the mathematics learning domain. The use of handwriting may result in decreas...
Lisa Anthony, Jie Yang, Kenneth R. Koedinger