Results 11 to 20 of about 1,207,341 (288)
Similarity measures for protein ensembles. [PDF]
PLoS ONE, 2009 Analyses of similarities and changes in protein conformation can provide important information regarding protein function and evolution. Many scores, including the commonly used root mean square deviation, have therefore been developed to quantify the ...
Kresten Lindorff-Larsen +1 more
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A comparative analysis of trajectory similarity measures
GIScience & Remote Sensing, 2021 Computing trajectory similarity is a fundamental operation in movement analytics, required in search, clustering, and classification of trajectories, for example.
Yaguang Tao +9 more
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Spectral Similarity Measures for In Vivo Human Tissue Discrimination Based on Hyperspectral Imaging [PDF]
Diagnostics, 2023 Problem: Similarity measures are widely used as an approved method for spectral discrimination or identification with their applications in different areas of scientific research.
Priya Pathak +10 more
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An Empirical Evaluation of Similarity Measures for Time Series Classification
Knowledge-Based Systems, 2014 Time series are ubiquitous, and a measure to assess their similarity is a core part of many computational systems. In particular, the similarity measure is the most essential ingredient of time series clustering and classification systems.
Arcos, Josep Lluis, Serrà, Joan
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Measures of Neural Similarity [PDF]
Computational Brain & Behavior, 2018 Abstract One fundamental question is what makes two brain states similar. For example, what makes the activity in visual cortex elicited from viewing a robin similar to a sparrow? One common assumption in fMRI analysis is that neural similarity is described by Pearson correlation.
Bobadilla-Suarez, S. +4 more
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Novel similarity measures in spherical fuzzy environment and their applications. [PDF]
Eng Appl Artif Intell, 2020 Shishavan SAS +4 more
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Multivariate Hypergeometric Similarity Measure [PDF]
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2012 We propose a similarity measure based on the multivariate hypergeometric distribution for the pairwise comparison of images and data vectors. The formulation and performance of the proposed measure are compared with other similarity measures using synthetic data.
Chanchala D, Kaddi +2 more
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Understanding and Using Common Similarity Measures for Text Analysis
The Programming Historian, 2020 This tutorial will focus on measuring distance among texts by describing the advantages and disadvantages of three of the most common distance measures: city block or “Manhattan” distance, Euclidean distance, and cosine distance. In this lesson, you will
John R. Ladd
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Learning to select data for transfer learning with Bayesian Optimization [PDF]
, 2017 Domain similarity measures can be used to gauge adaptability and select suitable data for transfer learning, but existing approaches define ad hoc measures that are deemed suitable for respective tasks. Inspired by work on curriculum learning, we propose
Plank, Barbara, Ruder, Sebastian
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Absent Color Indexing: Histogram-Based Identification Using Major and Minor Colors
Mathematics, 2022 The color histogram is a statistical behavior for robust pattern search or matching; however, difficulties have arisen in using it to discriminate among similar objects. Our method, called absent color indexing (ABC), describes how to use absent or minor
Ying Tian, Ming Fang, Shun’ichi Kaneko
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