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» On the monotonization of the training set
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AMFG
2005
IEEE
293views Biometrics» more  AMFG 2005»
15 years 6 months ago
How to Train a Classifier Based on the Huge Face Database?
The development of web and digital camera nowadays has made it easier to collect more than hundreds of thousands of examples. How to train a face detector based on the collected en...
Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan...
84
Voted
ICPR
2004
IEEE
16 years 1 months ago
Off-line Handwritten Textline Recognition Using a Mixture of Natural and Synthetic Training Data
In this paper the problem of off-line handwritten cursive text recognition is considered. A method for expanding the set of available training textlines by applying random perturb...
Tamás Varga, Horst Bunke
ICDAR
2005
IEEE
15 years 6 months ago
Enhancing Training Data for Handwriting Recognition of Whiteboard Notes with Samples from a Different Database
Recognition of unconstrained handwritten text is still a challenge. In this paper we consider a new problem, which is the recognition of notes written on a whiteboard. Our recogni...
Marcus Liwicki, Horst Bunke
112
Voted
JMLR
2011
110views more  JMLR 2011»
14 years 7 months ago
Training SVMs Without Offset
We develop, analyze, and test a training algorithm for support vector machine classifiers without offset. Key features of this algorithm are a new, statistically motivated stoppi...
Ingo Steinwart, Don R. Hush, Clint Scovel
TSD
2010
Springer
14 years 11 months ago
Using Gradient Descent Optimization for Acoustics Training from Heterogeneous Data
In this paper, we study the use of heterogeneous data for training of acoustic models. In initial experiments, a significant drop of accuracy has been observed on in-domain test s...
Martin Karafiát, Igor Szöke, Jan Cerno...