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Title: cake shop management system project
Page Link: cake shop management system project -
Posted By:
Created at: Wednesday 10th of January 2018 09:30:28 PM
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Title: Discriminative Learing and Recognition of Image set classes Using Canonical Correlati
Page Link: Discriminative Learing and Recognition of Image set classes Using Canonical Correlati -
Posted By: mechanical engineering crazy
Created at: Friday 28th of August 2009 04:32:15 AM
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Discriminative Learing and Recognition of Image set classes Using Canonical Correlation

Abstract:

Canonical angles or principle angle between the two dimensional sub-space.

Canonical angle is compared with the two main classical methods: parametric distribution based and non parametric sample based.

The classical linear discriminate analysis which we have to develop is to be maximizing the correlation with-in the class set and it has to minimize between the class-set.

Image set after transforming the discrimi ....etc

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Title: abstract of cake shop management system
Page Link: abstract of cake shop management system -
Posted By:
Created at: Tuesday 15th of December 2015 02:55:30 AM
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Title: USING THE CONCEPTUAL COHESION OF CLASSES FOR FAULT PREDICTION IN OBJECT ORIENTED SYST
Page Link: USING THE CONCEPTUAL COHESION OF CLASSES FOR FAULT PREDICTION IN OBJECT ORIENTED SYST -
Posted By: electronics seminars
Created at: Wednesday 13th of January 2010 09:52:37 AM
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USING THE CONCEPTUAL COHESION OF CLASSES FOR FAULT PREDICTION IN OBJECT ORIENTED SYSTEMS-SOFTWARE ENGINEERING

Abstract: High cohesion is desirable property in software systems to achieve reusability and maintainability. In this project we are measures for cohesion in Object-Oriented (OO) software reflect particular interpretations of cohesion and capture different aspects of it. In existing approaches the cohesion is calculate from the structural information for example method attributes and references. In conceptual cohesion of classes, i. ....etc

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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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Title: cake shop management system project
Page Link: cake shop management system project -
Posted By:
Created at: Friday 20th of April 2018 02:29:48 PM
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Hi am raghav i would like to get details on cake shop management system project ..My friend Jrajesh said cake shop management system project will be available here and now i am living at ......... and i last studied in the college/school ......... and now am doing ....i need help on ......etc ....etc

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Title: online examination result according to the classes project information in pdf
Page Link: online examination result according to the classes project information in pdf -
Posted By:
Created at: Monday 14th of January 2013 01:01:23 PM
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Title: USING THE CONCEPTUAL COHESION OF CLASSES FOR FAULT PREDICTION IN OBJECT ORIENTED SYST
Page Link: USING THE CONCEPTUAL COHESION OF CLASSES FOR FAULT PREDICTION IN OBJECT ORIENTED SYST -
Posted By: computer science crazy
Created at: Friday 18th of September 2009 12:38:08 AM
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USING THE CONCEPTUAL COHESION OF CLASSES FOR FAULT PREDICTION IN OBJECT ORIENTED SYSTEMS

Abstract: High cohesion is desirable property in software systems to achieve reusability and maintainability. In this project we are measures for cohesion in Object-Oriented (OO) software reflect particular interpretations of cohesion and capture different aspects of it. In existing approaches the cohesion is calculate from the structural information for example method attributes and references. In conceptual cohesion of classes, i.e. in our project we a ....etc

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Title: abstract on online cake shop
Page Link: abstract on online cake shop -
Posted By:
Created at: Thursday 18th of October 2018 09:17:21 PM
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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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