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Title: supervised learning of semantic classes for image annotation and retrieval
Page Link: supervised learning of semantic classes for image annotation and retrieval -
Posted By: chandujm
Created at: Wednesday 30th of June 2010 11:22:04 PM
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please send me the ppt of the above mentioned topic ....etc

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Title: matlab code for semi supervised margin analysis image retrieval
Page Link: matlab code for semi supervised margin analysis image retrieval -
Posted By:
Created at: Wednesday 03rd of July 2013 07:18:43 PM
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matlab code for semi supervised margin analysis image retrieval ....etc

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Title: new supervised attribute clustering algorithm
Page Link: new supervised attribute clustering algorithm -
Posted By:
Created at: Friday 22nd of April 2016 07:10:37 PM
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Hello
I want Clustering attribute MATLAB code. Please help me.

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Title: Mutual Information-Based Supervised Attribute Clustering for Microarray Sample Classi
Page Link: Mutual Information-Based Supervised Attribute Clustering for Microarray Sample Classi -
Posted By: Projects9
Created at: Monday 23rd of January 2012 06:14:04 PM
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Abstract—Microarray technology is one of the important biotechnological means that allows to record the expression levels of thousands of genes simultaneously within a number of different samples. An important application of microarray gene expression data in functional genomics is to classify samples according to their gene expression profiles. Among the large amount of genes presented in gene expression data, only a small fraction of them is effective for performing a certain diagnostic test. Hence, one of the major tasks with the gene expr ....etc

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Title: A Novel method for Detection and Elimination of Modification Attack and TTL
Page Link: A Novel method for Detection and Elimination of Modification Attack and TTL -
Posted By: seminar class
Created at: Wednesday 04th of May 2011 01:32:05 PM
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A Novel method for Detection and Elimination of Modification Attack and TTL attack in NTP based routing algorithm
Abstract:
An ad-hoc network is a multi-hop wireless network whereall nodes cooperatively maintain network connectivity without acentralized infrastructure. If these nodes change their positionsdynamically, it is called a mobile ad-hoc network (MANET). Sincethe network topology changes frequently, efficient adaptive routingprotocols such as AODV, DSR, and NTP are used. As the networkis wireless, security becomes the ....etc

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Title: a new supervised method for blood vessel segmentation in retinal images matlab code
Page Link: a new supervised method for blood vessel segmentation in retinal images matlab code -
Posted By:
Created at: Wednesday 21st of November 2012 02:06:13 PM
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pls post the matlab code along with the literature survey for the project topic'a new supervised method for blood vessel segmentation using gray level and moment invarients based features.'also post the matlab code for the blood vessel thickness measurement of segmented binary image as an enhancement
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Title: semi supervised clustering with multi viewpoint based similarity measure ppt
Page Link: semi supervised clustering with multi viewpoint based similarity measure ppt -
Posted By:
Created at: Tuesday 22nd of January 2013 02:11:02 PM
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Title: tracking mobile users in wireless networks via semi supervised colocalization ppt
Page Link: tracking mobile users in wireless networks via semi supervised colocalization ppt -
Posted By:
Created at: Saturday 01st of December 2012 12:24:13 AM
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i want a powerpoint presentation on tracking mobile users in wireless networks via semi supervised colocalization,to deliver a seminar.
plz help me.
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Title: supervised learning of semantic classes for image anotation and retrieval
Page Link: supervised learning of semantic classes for image anotation and retrieval -
Posted By: chandujm
Created at: Monday 21st of June 2010 02:19:02 AM
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Abstract”A probabilistic formulation for semantic image annotation and retrieval is proposed. Annotation and retrieval are posed as
classification problems where each class is defined as the group of database images labeled with a common semantic label. It is
shown that, by establishing this one-to-one correspondence between semantic labels and semantic classes, a minimum probability of
error annotation and retrieval are feasible with algorithms that are 1) conceptually simple, 2) computationally efficient, and 3) do not
require prior ....etc

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Title: data analysis using supervised algorithm project ppt
Page Link: data analysis using supervised algorithm project ppt -
Posted By:
Created at: Wednesday 07th of November 2012 08:50:30 PM
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