2512 search results - page 371 / 503 » Learning from Highly Structured Data by Decomposition |
110
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FLAIRS
2003
15 years 5 months ago
2003
Support vector machines (SVMs) are regularly used for classification of unbalanced data by weighting more heavily the error contribution from the rare class. This heuristic techn...
119
Voted
NIPS
2003
15 years 5 months ago
2003
Super-resolution aims to produce a high-resolution image from a set of one or more low-resolution images by recovering or inventing plausible high-frequency image content. Typical...
107
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ICASSP
2010
IEEE
15 years 4 months ago
2010
IEEE
The sequence kernel has been shown to be a promising kernel function for learning from sequential data such as speech and DNA. However, it is not scalable to massive datasets due ...
108
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CAS
2007
15 years 3 months ago
2007
Today, with the advances of computer storage and technology, there are huge datasets available, offering an opportunity to extract valuable information. Probabilistic approaches ...
162
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ICDAR
2011
IEEE
14 years 3 months ago
2011
IEEE
—We present an OCR-driven writer identification algorithm in this paper. Our algorithm learns writer-specific characteristics more precisely from explicit character alignment usi...