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» Semi-supervised Learning for Handwriting Recognition
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ICDAR
2005
IEEE
14 years 1 months ago
Prototype Learning Methods for Online Handwriting Recognition
In this paper, we study different methods for prototype selection for recognizing handwritten characters of Tamil script. In the first method, cumulative pairwise- distances of th...
B. S. Raghavendra, C. K. Narayanan, G. Sita, A. G....
NIPS
2008
13 years 9 months ago
Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks
Offline handwriting recognition--the transcription of images of handwritten text--is an interesting task, in that it combines computer vision with sequence learning. In most syste...
Alex Graves, Jürgen Schmidhuber
ICDAR
2009
IEEE
14 years 2 months ago
Writer Adaptive Online Handwriting Recognition Using Incremental Linear Discriminant Analysis
Writer adaptive handwriting recognition, which has potential of increasing accuracies for a particular user, is the process of converting a writer-independent recognition system t...
Zhibin Huang, Kai Ding, Lianwen Jin, Xue Gao
ICML
2006
IEEE
14 years 8 months ago
Personalized handwriting recognition via biased regularization
We present a new approach to personalized handwriting recognition. The problem, also known as writer adaptation, consists of converting a generic (user-independent) recognizer int...
Wolf Kienzle, Kumar Chellapilla
IUI
2005
ACM
14 years 1 months ago
Multimodal new vocabulary recognition through speech and handwriting in a whiteboard scheduling application
Our goal is to automatically recognize and enroll new vocabulary in a multimodal interface. To accomplish this our technique aims to leverage the mutually disambiguating aspects o...
Edward C. Kaiser