i am doing my b.tech.this sem i have project and i am doing project on inductive learning algorithms and representations for text categorization.if any idea regarding this project send to my mail.
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The project work realizes an efficent text segmentation algorithm and character recognition for the isolated text data in a documented video image sequence. The text isolation system implements three wavelet transformations namely Harr, Debuchie and spline wavelet and analyzes the effect of these wavelet transformation on text isolation process for a given video sequence. The system also analyze the effect of level decomposition on a documented video image sequence. The obtained results shows good isolation of text data form the image sequance ....etc

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I'm doing a project titled text categorization using KNN and clustering. To generate classes I use clustering and then KNN is applied for classification of test input. I would like to get the code for classifying the input correctly. Aso feature selection code is required. Kindly provide me with these code... ....etc

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Please send me the matlabcode for hard exudate detection using svm ....etc

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Text categorization is the task of assigning predefined categories to natural language text. With the widely used Ëœbag of wordsâ„¢ representation, previous researches usually assign a word with values such that whether this word appears in the document concerned or how frequently this word appears. Although these values are useful for text categorization, they have not fully expressed the abundant information contained in the document. This paper explores the effect of other types of values, which express the distribution of a word in th ....etc

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I have a big project in my University and TC is part of it. Please, I need the code urgently. ....etc

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sir provide me that code for my research work related to image classification ....etc

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i need the code for sparse color interest points for imsge retrivel
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Abstract
We investigate practical selection of meta-parameters for SVM regression (that is,
ε -insensitive zone and regularization parameter C). The proposed methodology advocates analytic
parameter selection directly from the training data, rather than resampling approaches commonly
used in SVM applications. Good generalization performance of the proposed parameter selection is
demonstrated empirically using several low-dimensional and high-dimensional regression
problems. Further, we point out the importance of Vapnik’s ε -i ....etc

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Abstract”
The basic concern of a Communication System is to transfer information from its source to a destination some distance away. Textual documents also deal with the transmission of information. Particularly, from a text categorization system point of view, the information encoded by a document is the topic or category it belongs to. Following this initial intuition, a theoretical framework is developed where Automatic Text Categorization (ATC) is studied under a Communication System perspective. Under this approach, the problemati ....etc

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