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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: 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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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: Learning a Propagable Graph for Semisupervised Learning Classification and Regressio
Page Link: Learning a Propagable Graph for Semisupervised Learning Classification and Regressio -
Posted By: Projects9
Created at: Monday 23rd of January 2012 06:12:54 PM
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Abstract—In this paper, we present a novel framework, called learning by propagability, for two essential data mining tasks, i.e., classification and regression. The whole learning process is driven by the philosophy that the data labels and the optimal feature representation jointly constitute a harmonic system, where the data labels are invariant with respect to the propagation on the similarity graph constructed based on the optimal feature representation. Based on this philosophy, a unified framework of learning by propagability is propos ....etc

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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: semisupervised biased maximum marginal analysis for interactive image retrieval ppt
Page Link: semisupervised biased maximum marginal analysis for interactive image retrieval ppt -
Posted By:
Created at: Thursday 10th of January 2013 02:00:11 PM
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Hello Sir/Madam

Am doing this Project i.e., Semi supervised biased maximum margin analysis for interactive image retrival. Am using Dot Net platform to implement this project. I need a help from you. Please provide me the ppt for this project which include Abstract, Introduction, Existing system(its disadvantages), Proposed system(its advantages), Modules and references. Please do the needful as soon as possible. Looking forward for your reply. ....etc

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Title: semisupervised biased maximum marginal analysis for interactive image retrieval
Page Link: semisupervised biased maximum marginal analysis for interactive image retrieval -
Posted By:
Created at: Thursday 28th of April 2016 11:57:29 PM
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Can you send the dfd,uml diagrams and complete project report of semisupervised biased maximum marginal analysis for interactive image retrieval ....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 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: 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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