Feature Reduction for Information Retrieval
نویسنده
چکیده
منابع مشابه
Principal Component Multi Linear Analysis for Content Based Image Retrieval
In the process of content based Image retrieval (CBIR), image information is presented in descriptive features to obtain retrieval of image information. In the representation of descriptive features a large feature count is observed, which results in the overhead in processing. To reduce these descriptive features different dimensional reduction logic were used in which PCA is the most commonly...
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Artificial Immune Systems (AIS) can be defined as soft computing systems inspired by immune system of vertebrates. Immune system is an adaptive pattern recognition system. AIS have been used in pattern recognition, machine learning, optimization and clustering. Feature reduction refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encoun...
متن کاملText Document Clustering Using Dimension Reduction Technique
Text document clustering is used to group a set of documents based on the information it contains and to provide retrieval results when a user browses the internet. Experimental evidences have shown that Information Retrieval applications can benefit from document clustering and it has been used as a tool to improve the performance of retrieval of information. Information retrieval is an interd...
متن کاملA Novel Method for Content Base Image Retrieval Using Combination of Local and Global Features
Content-based image retrieval (CBIR) has been an active research topic in the last decade. In this paper we proposed an image retrieval method using global and local features. Firstly, for local features extraction, SURF algorithm produces a set of interest points for each image and a set of 64-dimensional descriptors for each interest points and then to use Bag of Visual Words model, a cluster...
متن کاملA Novel Method for Content Base Image Retrieval Using Combination of Local and Global Features
Content-based image retrieval (CBIR) has been an active research topic in the last decade. In this paper we proposed an image retrieval method using global and local features. Firstly, for local features extraction, SURF algorithm produces a set of interest points for each image and a set of 64-dimensional descriptors for each interest points and then to use Bag of Visual Words model, a cluster...
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تاریخ انتشار 1998