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Title: SEMISUPERVISED NEAREST NEIGHBOUR TECHNIQUE AN APPLICATION TO PIXEL CLASSIFICATION
Page Link: SEMISUPERVISED NEAREST NEIGHBOUR TECHNIQUE AN APPLICATION TO PIXEL CLASSIFICATION -
Posted By: debosmita29
Created at: Tuesday 05th of April 2011 11:35:25 PM
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PLEASE HELP ME MAKE THIS PROJECT REPORT AS SOON AS POSSIBLE. ....etc

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Title: continuous neighbour discovery
Page Link: continuous neighbour discovery -
Posted By:
Created at: Tuesday 18th of February 2014 11:04:22 PM
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Title: AUTHENTICATED MULTISTEP NEAREST NEIGHBOR SEARCH
Page Link: AUTHENTICATED MULTISTEP NEAREST NEIGHBOR SEARCH -
Posted By: computer girl
Created at: Thursday 07th of June 2012 07:42:59 PM
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AUTHENTICATED MULTISTEP NEAREST NEIGHBOR SEARCH



ABSTRACT:

Multistep processing is commonly used for nearest neighbor (NN) and similarity search in applications involving high-dimensional data and/or costly distance computations. Today, many such applications require a proof of result correctness. In this setting, clients issue NN queries to a server that maintains a database signed by a trusted authority. The server returns the NN set along with supplementary information that permits result verification u ....etc

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Title: continuous neighbour discovery in asynchronous sensor networks in ppt
Page Link: continuous neighbour discovery in asynchronous sensor networks in ppt -
Posted By:
Created at: Monday 03rd of June 2013 01:54:56 PM
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plz show me source code, i want source code on this particular topic as it is freely availabale on the net for submission of project report ....etc

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Title: huffman algorithm and adaptive huffman algorithm binary image using matlab
Page Link: huffman algorithm and adaptive huffman algorithm binary image using matlab -
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Created at: Saturday 09th of May 2015 06:09:52 PM
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I need simple Matlab Code for Adaptive Huffman Algorithm .

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Title: authenticated multistep nearest neighbor search ME comp
Page Link: authenticated multistep nearest neighbor search ME comp -
Posted By:
Created at: Tuesday 26th of March 2013 03:45:51 PM
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authenticated multistep nearest neighbor search ....etc

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Title: authenticated multi step nearest neighbor search project report
Page Link: authenticated multi step nearest neighbor search project report -
Posted By:
Created at: Wednesday 03rd of July 2013 05:22:55 PM
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Hi,
I'm having some doubt in nearest neighbor information retrieval so please reply me. ....etc

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Title: On Group Nearest Group Query Processing
Page Link: On Group Nearest Group Query Processing -
Posted By: Projects9
Created at: Monday 23rd of January 2012 06:33:17 PM
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Abstract—Given a data point set , a query point set , and an integer , the Group Nearest Group (GNG) query finds a subset ( ) of points from such that the total distance from all points in to the nearest point in is not greater than any other subset ( ) of points in . GNG query is a partition-based clustering problem which can be found in many real applications and is NP-hard. In this paper, Exhaustive Hierarchical Combination (EHC) algorithm and Subset Hierarchial Refinement (SHR) algorithm are developed for GNG query pr ....etc

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Title: continuous neighbour discovery in asynchronous sensor networks source code
Page Link: continuous neighbour discovery in asynchronous sensor networks source code -
Posted By:
Created at: Tuesday 17th of March 2015 01:10:48 PM
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i need the source code for this project for windwos 7 ....etc

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Title: Aggregate Nearest Keyword Search in Spatial Databases
Page Link: Aggregate Nearest Keyword Search in Spatial Databases -
Posted By: seminar class
Created at: Saturday 07th of May 2011 06:56:55 PM
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Abstract
Given a set of spatial points D containing keywordsinformation, a set of query objects Q and m querykeywords, a top-k aggregate nearest keyword (ANK) queryretrieves k objects from Q with the minimum sum of distancesto its nearest points in D such that each nearest point matchesat least one of query keywords. For example, consider thereis a spatial database D which manages facilities (e.g., school,restaurants, hospital, etc.) represented by sets of keywords. Auser may want to rank a set of locations with respect to thesum of di ....etc

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