similarity measurement
COMPARATIVE STUDY OF VARIOUS TEXTURE BASED APPROACHES AND SIMILARITY MEASUREMENT APPROACHES IN CBIR
... images. Similarity measurement is also an important factor for recognition of query images to relevant images in the ...based similarity distance measurement approaches have been discussed in ...
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A Novel Similarity Measurement for Iris Authentication
... This paper introduces a novel similarity measurement which derives the likelihood ratio between two eyes. The proposed method takes into consideration the individual and system error rates of eye features. ...
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An Open source Framework for Multi level Semantic Similarity Measurement
... We present an open source, freely available Java implementation of Align, Disambiguate, and Walk (ADW), a state-of-the-art approach for measuring semantic similarity based on the Personalized PageRank algorithm. A ...
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Performance Improvement In Clustering Using Similarity Measurement Method By Categorizing The Data Items
... The cluster analysis make group of data objects based only on information found in the data which describes the objects and their relationships. The various evaluations on data clustering techniques reveal the need for ...
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An Integrated Information-Based Similarity Measurement of Gene Ontology Terms
... information-based similarity measurement (IISM) to measure the semantic similarity of GO ...their similarity; (3) the similarity between terms near the root of GO graph is smaller than ...
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Article Efficient Multimedia Similarity Measurement Using Similar Elements
... Figure 3. The framework of image similarity measurement. This framework employs a coupled CNNs network to learn the deep visual feature representations of the two input images. Across each layers of two ...
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The Rough Method for Spatial Data Subzone Similarity Measurement
... subzone similarity based on ...rough similarity measurement formula to measure GIS subzone similarity problem, this method can provide a new direction for GIS point group or others’ object ...
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SYNONYM EXTRACTION USING SEMANTIC SIMILARITY MEASUREMENT BETWEEN WORDS
... semantic similarity measurement between two ...semantic similarity measurement for each ...semantic similarity between query word and each word from the given set of ...
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Cross-domain graph based similarity measurement of workflows
... PAISs [13] must continually adjust and evolve the performance to ensure the capabil- ity of modeling, enacting, and supporting real-world processes. Recently, Workflow Recommenders (WRs) [14] in PAISs have proposed ...
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Combined Information Content and Path Length Based Semantic Similarity Measurement
... semantic similarity of concepts is a problem that has been extensively investigated in the literature in different areas such as artificial intelligence, Natural Language Processing (NLP), web link mining, ...
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Optinalysis: A New Approach of Symmetry Detection and Similarity Measurement through a Looking-Glass
... Optinalysis, as a method of symmetry detection, is a new algorithm that intrametrically (within elements or variables) or intermetrically (between elements or variables) computes and compares two or more univariate or ...
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Improved sqrt-cosine similarity measurement
... Text similarity measurement aims to find the commonality existing among text docu- ments, which is fundamental to most information extraction, information retrieval, and text mining ...Cosine ...
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A Novel Fragments-based Similarity Measurement Algorithm for Visual Tracking
... Fragments-based Similarity Measurement algorithm for object tracking in video ...the similarity of each fragment with the overlapped smaller patches by comparing the average intensity value of the ...
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Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement
... Textual similarity measurement is a challeng- ing problem, as it requires understanding the semantics of input ...novel similarity focus mechanism to identify important correspon- dences for better ...
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An Approach of Similarity Measurement for Heterogeneous and Unordered Mass Customization Products
... After similarity calculation based on C++ program module, the correlations among 200 customized road lamp instances are described based on graphic theory which is presented at ...
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A Review on Similarity Measurement Methods in Trust-based Recommender Systems
... measured their similarity based on users-tags matrix. MWalker used an improved random walk model for making recommendation. They used a heuristic method for measuring interest of users to music. For this reason ...
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Incremental MVS based Clustering Method for Similarity Measurement
... the similarity between the elements in the given data ...this similarity between a pair of objects can be defined either explicitly or ...Multiviewpoint-based similarity measure and traditional K- ...
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A New Similarity Measure for Time Series Data Mining Based on Longest Common Subsequence
... new similarity measurement method that named Developed Longest Common Subsequence (DLCSS) is suggested for time series data ...of similarity in time series ...for similarity measurement ...
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Grey forecast model for accurate recommendation in presence of data sparsity and correlation
... Despite its widespread use, memory based CF techniques still suffer from several major problems, including the data sparsity problem [4] and [9], data correlation problem [10], and cold start problem [11] and [12]. The ...
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Precise Image Registration with Structural Similarity Error Measurement Applied to Superresolution
... Structural Similarity measurement of two images, into the formulation of ...difference measurement, named as SDIS, was defined, which better reflects the dissimilarity of the two images compared to ...
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