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» An Evaluation Technique for Binarization Algorithms
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IWSEC
2007
Springer
16 years 22 days ago
Privacy-Preserving Eigentaste-Based Collaborative Filtering
With the evolution of e-commerce, privacy is becoming a major concern. Many e-companies employ collaborative filtering (CF) techniques to increase their sales by providing truthfu...
Ibrahim Yakut, Huseyin Polat
SIGIR
2006
ACM
16 years 16 days ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
DAS
2010
Springer
15 years 5 months ago
Automatic unsupervised parameter selection for character segmentation
A major difficulty for designing a document image segmentation methodology is the proper value selection for all involved parameters. This is usually done after experimentations o...
Georgios Vamvakas, Nikolaos Stamatopoulos, Basilio...
SIGIR
2011
ACM
14 years 9 months ago
Faster top-k document retrieval using block-max indexes
Large search engines process thousands of queries per second over billions of documents, making query processing a major performance bottleneck. An important class of optimization...
Shuai Ding, Torsten Suel
CVPR
2009
IEEE
17 years 1 months ago
Global Connectivity Potentials for Random Field Models
Markov random field (MRF, CRF) models are popular in computer vision. However, in order to be computationally tractable they are limited to incorporate only local interactions a...
Sebastian Nowozin, Christoph H. Lampert