Content-Based Discovery for Web Map Service using Support Vector Machine and User Relevance Feedback
نویسندگان
چکیده
منابع مشابه
Content-Based Discovery for Web Map Service using Support Vector Machine and User Relevance Feedback
Many discovery methods for geographic information services have been proposed. There are approaches for finding and matching geographic information services, methods for constructing geographic information service classification schemes, and automatic geographic information discovery. Overall, the efficiency of the geographic information discovery keeps improving., There are however, still two ...
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Understanding and learning the subjective aspect of humans in Content-Based Image Retrieval has been an active research field during the past few years. However, how to effectively discover users’ concept patterns when there are multiple visual features existing in the retrieval system still remains a big issue. In this paper, we propose a multimedia data mining framework that incorporates Mult...
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A relevance feedback (RF) approach for content-based image retrieval (CBIR) is proposed, which is based on Support Vector Machines (SVMs) and uses a feature selection technique to reduce the dimensionality of the image feature space. Specifically, each image is described by a multidimensional vector combining color, texture and shape information. In each RF round, the positive and negative exam...
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Harris Drucker [email protected] AT&T Research and Monmouth University, West Long Branch, NJ 07764, USA Behzad Shahrary [email protected] David C. Gibbon [email protected] AT&T Research, 200 Laurel Ave., Middletown, NJ, 07748, USA. Correspondence should be addressed to: Dr. Harris Drucker Monmouth University West Long Branch, NJ 07764 phone: 732-571-3698 email: [email protected] ...
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Principal aim of a search engine is to provide the sorted results according to user’s requirements. To achieve this aim, it employs ranking methods to rank the web documents based on their significance and relevance to user query. The novelty of this paper is to provide user feedback-based ranking algorithm using reinforcement learning. The proposed algorithm is called RRLUFF, in which the rank...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2016
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0166098