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Statistics / Search algorithms / Information retrieval / Statistical classification / Support vector machine / Nearest neighbor search / Active learning / R-tree / K-nearest neighbor algorithm / Information science / Artificial intelligence / Machine learning


Efficient Top-k Hyperplane Query Processing for Multimedia Information Retrieval Navneet Panda
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Document Date: 2006-12-06 14:49:06

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File Size: 274,34 KB

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ACM Press / John Wiley and Sons / /

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port Vector Machines / Computer Science University of California Santa Barbara Dept. / University of California / /

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post-processing step / approximate similarity search / query processing / inner product / inner products / binary search yields / neighbor search / similarity search / sequential minimal optimization algorithm / vector clustering algorithm / decades applications / binary search return coordinate / controlled search / binary search / deSVM algorithm / retrieval algorithm / retrieval learning algorithm / naive sequential processing / approximate clustering algorithm / classifier-learning algorithm / multimedia applications / learning algorithm / sequential processing time / /

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University of California / MIT / Computer Science University / Detect / Stanford / /

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A. Wu / Edward Y. Chang / M. Li / Morgan Kaufmann / R. Silverman / Y. Ma / N. Netanyahu / H. Zhang / O. King / /

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editor / representative / King / /

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queries / /

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Journal of Machine Learning Research / /

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Alpha / vector clustering algorithm / one-class algorithm / RAM / classifier-learning algorithm / SVM learning algorithm / Linux / The SVC algorithm / grouping algorithm / Machine Learning / approximate clustering algorithm / deSVM algorithm / learning algorithm / 1GHz Pentium processor / SVM algorithm / retrieval algorithm / training algorithm / sequential minimal optimization algorithm / 1.1 Algorithm / Data Mining / 1.2 Algorithm / retrieval learning algorithm / /

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