Search Results - (( global extraction matching algorithm ) OR ( spider optimization based algorithm ))*
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Social spider optimisation algorithm for dimension reduction of electroencephalogram signals in human emotion recognition
Published 2018“…Due to some limitations of current heuristics and evolutionary algorithms, this paper proposed a new swarm based algorithm for feature selection method called Social Spider Optimization (SSO-FS). …”
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Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning
Published 2016“…Furthermore, feature extraction methods based on global features such as shape, color and texture do not lead to accurate identification since they cannot adapt to changing environment. …”
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Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
Published 2018“…From the algorithm, disparity mapping algorithm such as Semi-global block algorithm is found out to be inaccurate and complex. …”
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The development of parameter estimation method for Chinese hamster ovary model using black widow optimization algorithm
Published 2020“…The proposed algorithm has been compared with the other three famous algorithms, which are Particle Swarm Optimization (PSO), Differential Evolutionary (DE), and Bees Optimization Algorithm (BOA). …”
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Signature verification system using support vector machine
Published 2009“…The general on-line verification procedures are preprocessing, features extraction, detail matching and post processing. The common verification algorithm is one of the Global Feature Vector Machine called Support Vector Machine (SVM). …”
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ScannerVision: Scanner-based image acquisition of medically important arthropods for the development of computer vision and deep learning models
Published 2025“…In this paper, we present a high-throughput scanner-based method for capturing images of arthropods that can be used to generate large datasets suitable for training machine learning algorithms for identification. …”
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Automatic microsleep detection based on KNN classifier utilizing selected and effective EEG channels
Published 2024“…The selection of an optimum channel and the use of a competent classification algorithm are crucial for effective microsleep detection. …”
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Content-based indexing of low resolution documents
Published 2016“…K-means clustering are used for visual features like colour since their spatial distribution give a good image’s global information. Tree indexing for extracted layout and shape features are structured hierarchically and Euclidean distance is used to get similarity image for CBIR. …”
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