2512 search results - page 286 / 503 » Learning from Highly Structured Data by Decomposition |
167
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CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
We describe a method for learning steerable deformable part models. Our models exploit the fact that part templates can be written as linear filter banks. We demonstrate that one...
153
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ISDA
2010
IEEE
15 years 2 months ago
2010
IEEE
Real life datasets often suffer from the problem of class imbalance, which thwarts supervised learning process. In such data sets examples of positive (minority) class are signific...
128
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CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
Prior distributions are useful for robust low-level vision, and undirected models (e.g. Markov Random Fields) have become a central tool for this purpose. Though sometimes these p...
125
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ICDAR
2009
IEEE
15 years 10 months ago
2009
IEEE
A new isolated handwritten Farsi numeral recognition algorithm is proposed in this paper, which exploits the sparse and over-complete structure from the handwritten Farsi numeral ...
131
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ALGORITHMICA
2010
15 years 4 months ago
2010
We divide a string into k segments, each with only one sort of symbols, so as to minimize the total number of exceptions. Motivations come from machine learning and data mining. F...