Efficient Top-k Hyperplane Query Processing for Multimedia Information Retrieval Navneet Panda

First Page		Document Content
Date: 2006-12-06 14:49:06 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 Add to Reading List Source URL: alumni.cs.ucsb.edu Download Document from Source Website File Size: 274,34 KB Share Document on Facebook

	Exploiting Search Space Structure in Classical Planning: Analyses and Algorithms (Dissertation Abstract) Masataro Asai Graduate School of Arts and Sciences University of Tokyo DocID: 1xUEX - View Document
	Playing with AVATAR Giles Reger, Martin Suda and Andrei Voronkov ? University of Manchester, Manchester, UK Abstract. Modern first-order resolution and superposition theorem provers use saturation algorithms to search fo DocID: 1xTM6 - View Document
	Chapter 3 Classical Optimization and Search Techniques In this chapter we discuss a few popular optimization techniques in use in current day natural language processing algorithms. First we present the Hidden Markov DocID: 1uSjw - View Document
	Line Search for Averaged Operator Iteration Pontus Giselsson, Mattias F¨alt, and Stephen Boyd Abstract Many popular first order algorithms for convex optimization, such as forward-backward splitting, Douglas-Rachford sp DocID: 1uOGW - View Document
	Structuring Depth-First Search Algorithms in Haskell David J. King John Launchbury Department of Computing Science DocID: 1uNEx - View Document