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25 articles for “similarity measures”
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Research ArticleOpen accessPhrase in the titleCOLOR PERCEPTION HISTOGRAM FOR IMAGE RETRIEVAL USING MULTIPLE SIMILARITY MEASURESR. Malini, C. VasanthanayakiThis study aims to increase the retrieval efficiency of proposed image retrieval system on the basis of color content. A new idea of feature extraction based on color perception histogram is proposed. First, the color histogram is constructed for HSV image. Secondly, the true color and grey color components are identified based on hue and intensity. The weight for true … …Journal of Computer Science, Vol. 10, Issue 6 · 30 Jan 2014 · 6,606 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCOMPARATIVE STUDY OF K-MEANS AND K-MEANS++ CLUSTERING ALGORITHMS ON CRIME DOMAINBashar Aubaidan, Masnizah Mohd, Mohammed AlbaredThis study presents the results of an experimental study of two document clustering techniques which are k-means and k-means++. In particular, we compare the two main approaches in crime document clustering. The drawback of k-means is that the user needs to define the centroid point. This becomes more critical when dealing with document clustering because each center point represented by … …Journal of Computer Science, Vol. 10, Issue 7 · 19 Feb 2014 · 7,762 accessesView PDFCite
Research ArticleOpen accessIn the keywordsContext Disambiguation Based Semantic Web Search for Effective Information RetrievalM. Barathi, S. ValliProblem statement: Search queries are short and ambiguous and are insufficient for specifying precise user needs. To overcome this problem, some search engines suggest terms that are semantically related to the submitted queries, so that users can choose from the suggestions based on their information needs. Approach: In this study, we introduce an effective approach that captures the user’s specific … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 6,879 accessesView PDFCite
Research ArticleOpen accessIn the abstractKSWN (Kannada SentiWordNet): Developing a Sentiment Lexicon for Kannada using Translation and Word Embedding TechniquesRashmi Kariganuru Bheemarao, Hassan Sadashiva Guruprasad, Shambhavi Bangalore RaviOpinion Mining has gained significant attention in recent years, especially due to the enormous growth of online content generation. However, finding the opinions expressed in comments and reviews is highly challenging in Indian regional languages due to the lack of annotated datasets. Opinion mining has predominantly been conducted in English, with recent efforts extending to Hindi and other languages. A … …Journal of Computer Science, Vol. 21, Issue 6 · 4 Jul 2025 · 3,377 accessesView PDFCite
Research ArticleOpen accessIn the abstractSemSimp: A Parametric Method for Evaluating the Semantic Similarity of Digital ResourcesAntonio De Nicola, Anna Formica, Ida Mele, Francesco TaglinoAbioui, H., Idarrou, A., Bouzit, A., & Mammass, D. (2018). Towards a Novel and Generic Approach for OWL Ontology Weighting. Procedia Computer Science, 127, 426–435. https://doi.org/10.1016/j.procs.2018.01.140 Adhikari, A., Dutta, B., Dutta, A., Mondal, D., & Singh, S. (2018). An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology. Journal of the Association for … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,773 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Personal Name Matching: Names Written using Latin AlphabetAttia Nehar, Slimane Bellaouar, Djelloul Ziadi, Khaled Moulay OmarAbstract: In many Arab countries’ public administrations, Arabic personal names are written with Latin alphabet, generally, in various ways by different writers. This has led to many problems when it comes to connecting these administrations. The aim of this study was to propose two new approaches for the pairwise matching of Arabic personal names. The first approach is based on … …Journal of Computer Science, Vol. 17, Issue 9 · 29 Sep 2021 · 7,602 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenetic State of Pulsatilla Patens (L.) Mill. Coenopopulations Based on DNA LabelingRustem Saltanovich Beishov, Gulnar Sultangazina, Indira Saltanovna Beishova et al.In the article, the results of studying the gene pools of the Kazakhstan coenopopulations of a rare plant species Pulsatilla patens (L.) Mill. are shown. The biomaterial taken from five coenopopulations located in Northern Kazakhstan has been used as samples. To identify the multilocus DNA polymorphism, the authors have used ISSR (Inter Simple Sequence Repeats, or intermicrosatellite analysis) labeling. The … …OnLine Journal of Biological Sciences, Vol. 21, Issue 1 · 2 Apr 2021 · 5,944 accessesView PDFCite
Research ArticleOpen accessIn the abstractTransfer Learning in Attack Avoidance GamesEdwin Torres, Fernando LozanoTransfer knowledge is a human characteristic that has been replicated in machine learning algorithms to improve learning performance measures. However, little success has been accomplished in reinforcement learning tasks when a function approximation is needed to estimate the value functions. In this study, we present a new strategy to facilitate knowledge transfer when an agent is learning to solve a … …Journal of Computer Science, Vol. 16, Issue 10 · 13 Nov 2020 · 6,577 accessesView PDFCite
Research ArticleOpen accessIn the abstractSVD-Structural Similarity in the Wavelet-Gabor Domain: Improved Confidence for Face Recognition under Noise, Blur and HazeOhood Fadil Ismael, Zahir M. HussainIn this work we propose and investigate the performance of a new similarity measure based on Singular Value Decomposition (SVD) and structural similarity in the wavelet and Gabor domains. The reasoning behind this combination is to utilize SVD in getting independent components, wavelet decomposition to get the complex frequency features and Gabor filtering to get textural features. A comparison has … …Journal of Computer Science, Vol. 15, Issue 8 · 29 Aug 2019 · 7,497 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnglish Sentiment Classification using Only the Sentiment Lexicons with a JOHNSON Coefficient in a Parallel Network EnvironmentVo Ngoc Phu, Vo Thi Ngoc TranSentiment classification is significant in everyday life, such as in political activities, commodity production and commercial activities. In this survey, we have proposed a new model for Big Data sentiment classification. We use many sentiment lexicons of our basis English Sentiment Dictionary (bESD) to classify 5,000,000 documents including 2,500,000 positive and 2,500,000 negative of our testing data set in English. … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 22 Dec 2017 · 7,327 accessesView PDFCite