i want all the details about this project named a memory learning framework for effective image retrieval including reports, ppt, code and help in various algorithms used in this project like gabor algorithm and distance euclidean matrix.
aditya kumar
B.E(4th year) ....etc

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Hii,..PAL....
I need the project which you've done..!!
Please getback to my mail;
as early as possible....I'm working on it...And it would be additive for me if I get through the whole project....Give me access by mailing it at
[email protected] ....etc

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sir, i m searching a java project as mini project for my 3rd yr.. I m studying in engineering. I lyk ths topic text clustering so u cud advice me for ths project n suggest me to build ths project ....etc

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a fuzzy self constructing feature clustering algorithm for text classification full project documentation ? ....etc

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ABSTRACT
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special problems of text clustering: very high dimensionality of the data, very large size of the databases and understandability of the cluster description. In this paper, we introduce a novel approach which uses frequent item (term) sets for text clustering. Such frequent sets can be efficiently discovered using algorithms for associa ....etc

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Introduction

-DUE to the rapidly growing amount of digital image data on the Internet and in digital libraries, there is a great need for large image database management and effective image retrieval tools.
-Content-based image retrieval (CBIR) is the set of tech­niques for searching for similar images from an image database using automatically extracted image features.
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Abstract—Efficient and effective full-text retrieval in unstructured peer-to-peer networks remains a challenge in the research community. First, it is difficult, if not impossible, for unstructured P2P systems to effectively locate items with guaranteed recall. Second, existing schemes to improve search success rate often rely on replicating a large number of item replicas across the wide area network, incurring a large amount of communication and storage costs. In this paper, we propose BloomCast, an efficient and effective full-text retriev ....etc

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abstract:
A Novel Framework for Semantic Annotation and Personalized Retrieval of Sports Video

Sports video annotation is important for sports video semantic analysis such as event detection and personalization. We propose a novel approach for sports video semantic annotation and personalized retrieval. Different from the state of the art sports video analysis methods which heavily rely on audio/visual features, the proposed approach incorporates web-casting text into sports video analysis.

Compared with previous approaches, the contri ....etc

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Memory Learning Framework for Effective Image Retrieval on Medical images
IEEE Transactions on Image Processing, Vol. 14, No. 4, April 2005
Language: Java

Abstract:
Most current content-based image retrieval systems are still incapable of providing users with their desired results. The major difficulty lies in the gap between low-level image features and high-level image semantics. To address the problem, this study reports a framework for effective image retrieval by employing a novel idea of memory learning. It forms a knowledg ....etc

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