Distance Measures
Evaluation of Distance Measures For NMF-Based Face Image Applications
... suitable distance measure for NMF-based data ...19 distance measures between feature vectors is evaluated based on the result of the NMF algorithm for face recognition, which include most of the ...
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EFFECT OF DISTANCE MEASURES ON TRANSFORM BASED IMAGE CLASSIFICATION
... or distance between two feature vectors is a key step in all these ...right distance measure for a given database is a biggest ...various distance measures and their effect on transform based ...
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Adaptive String Distance Measures for Bilingual Dialect Lexicon Induction
... string distance measures is the Levenshtein ...the distance between two words is defined as the least-cost se- quence of edit and identity ...Levenshtein distance op- erates on single letters ...
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Effect of Dynamic Time Warping using different Distance Measures on Time Series Classification
... similarity measures to find the similarity between the time series for classification can be ...similarity measures available for finding the distance between two ...similarity measures can be ...
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Evaluating Neighbor Rank and Distance Measures as Predictors of Semantic Priming
... This paper summarizes the results of a large-scale evaluation study of bag-of- words distributional models on behavioral data from three semantic priming experi- ments. The tasks at issue are (i) identifi- cation of ...
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Ensemble of Distance Measures for Multimodal Video Retrieval System
... six distance measure described above. Firstly, each distance measure calculates the distance between the query input and the database videos/audios and then displays the relevant ...
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Superstability of the functional equation with a cocycle related to distance measures
... form of the functional equation f(pr,qs) + f(ps, qr) = f (p, q)f (r,s), which arises in the characterization of symmetrically compositive sum-form distance measures, and as products of some multiplicative ...
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Semantic Document Distance Measures and Unsupervised Document Revision Detection
... This paper has explored how DTW and TED can be extended with word2vec to construct semantic document distance measures: wDTW and wTED. By representing paragraphs with concatenations of word vectors, wDTW ...
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Facial Expression Classification using Distance Measures for Emotion Detection
... Facial Expression Recognition (FER) has essential real world applications. Its applications include, but are not limited to, Human Computer Interaction (HCI), psychology and telecommunications. It remains a challenging ...
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Performance Evaluation of Different Distance Measures Used in Color Iris Authentication
... different distance measures used in color iris ...Different distance measures are used for iris ...Manhattan distance are computationally efficient as compared to other ...Manhattan ...
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Effect of Distance measures on Partitional Clustering Algorithms using Transportation Data
... Author’s previous research[2,3,4,5] has showed the original aim of research and application of clustering techniques on transportation data. Ultimately it is proposed to come out with recommendations on suitable ...
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Distance Measures for Image Segmentation Evaluation
... use measures for comparing clusterings developed in statistics and the machine learning community for the purpose of seg- mentation ...of measures which have not been used before in image ...new ...
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Influence of compression distance measures on Authorship Attribution
... compression distance measures such as Normalized Compressor Distance (NCD), Compression Dissimilarity Measure (CDM) and Conditional Complexity of Compression (CCC) ...
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Superstability of the functional equation related to distance measures
... The above equation DM characterized by distance measures can be considered by characterization of a symmetrically compositive sum-form information measurable functional equation.. The fu[r] ...
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An Empirical Comparison of Distance Measures for Multivariate Time Series Clustering
... of distance function over time ...straightforward distance definition, the definition of distance between time series should precisely quantify the similarity (dissimilarity) between time series ...
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Comparison of distance measures in spatial analytical modeling for health service planning
... While distance does not explicitly enter in these models, it is one of the key param- eters defining the spatial weight matrix (19), which repre- sents the neighborhood definition, hence the model's ability to ...
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An Agglomerative Hierarchical Clustering with Various Distance Measurements for Ground Level Ozone Clustering in Putrajaya, Malaysia
... The experiments have been conducted using C# programming language in which the data has been transformed into columns and eliminating the noisy data. In addition, the agglomerative hierarchical clustering has been ...
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Enhanced self organizing map with particle swarm optimization for classification problems
... This study investigates the capabilities of enhanced SOM with Particle Swarm Optimization (ESOMPSO) to solve the classification problems. The performance of standard SOM, ESOM, SOMPSO and ESOMPSO using various ...
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A Theoretical Development of Distance Measure for Intuitionistic Fuzzy Numbers
... existing measures between IFSs, in our opinion, all the measures have some advantages as well as some ...particular distance measure is the best and should replace ...existing distance ...
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Distributional measures of concept distance: A task oriented evaluation
... concept- distance measures outperformed word-distance measures in both ...WordNet-based measures in ranking a small set of word pairs, but in the task of correcting real-word spelling ...
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