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» Isolation and Analysis of Optimization Errors
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ICML
2009
IEEE
15 years 12 months ago
A simpler unified analysis of budget perceptrons
The kernel Perceptron is an appealing online learning algorithm that has a drawback: whenever it makes an error it must increase its support set, which slows training and testing ...
Ilya Sutskever
93
Voted
ICIP
2008
IEEE
16 years 24 days ago
Estimation of optimum coding redundancy and frequency domain analysis of attacks for YASS - a randomized block based hiding sche
Our recently introduced JPEG steganographic method called Yet Another Steganographic Scheme (YASS) can resist blind steganalysis by embedding data in the discrete cosine transform...
Anindya Sarkar, Lakshmanan Nataraj, B. S. Manjunat...
CIBCB
2006
IEEE
15 years 5 months ago
Machine Learning in Basecalling Decoding Trace Peak Behaviour
— DNA sequence basecalling is commonly regarded as a solved problem, despite significant error rates being reflected in inaccuracies in databases and genome annotations. These er...
David Thornley, Stavros Petridis
ICDAR
2005
IEEE
15 years 4 months ago
Fast Convolutional OCR with the Scanning N-Tuple Grid
This paper introduces a novel high speed convolutional character recognition system. Convolutional mode operation means that no prior localization or segmentation of characters is...
Simon M. Lucas, Kyu Tae Cho
ICDAR
2011
IEEE
13 years 10 months ago
A New Feature Optimization Method Based on Two-Directional 2DLDA for Handwritten Chinese Character Recognition
—LDA transformation is one of the popular feature dimension reduction techniques for the feature extraction in most handwritten Chinese characters recognition systems. The integr...
Xue Gao, Wenhuan Wen, Lianwen Jin