Search Results - (( using function method algorithm ) OR ( two classification matching algorithm ))
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Improved GART neural network model for pattern classification and rule extraction with application to power systems
Published 2023“…IGART enhances the dynamics of GART in several aspects, which include the use of the Laplacian likelihood function, a new vigilance function, a new match-tracking mechanism, an ordering algorithm for determining the sequence of training data, and a rule extraction capability to elicit if-then rules from the network. …”
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Development of a new robust hybrid automata algorithm based on surface electromyography (SEMG) signal for instrumented wheelchair control
Published 2020“…This method would be a control method to activate power assist system and selected based on conditions set in the algorithm. …”
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A study on component-based technology for development of complex bioinformatics software
Published 2004“…The second layer uses discriminative SVM algorithm with a state-of-the-art string kernel based on PSI-BLAST profiles that is used to leverage the unlabeled data. …”
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Scan Matching and KNN Classification for Mobile Robot Localisation Algorithm
Published 2017“…This paper presents the use of single laser range finder for the mobile robot mapping and localisation system. The localisation algorithm is developed using scan matching method which is incorporated with K-nearest neighbours (KNN) classification. …”
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Conference or Workshop Item -
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Converged Classification Network For Matching Cost Computation
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Recognition of human motion from qualitative normalised templates
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Trademark image classification approaches using neural network and rough set theory
Published 2003“…It is essential to incorporate an eficient classification technique to partition the database in order to ensure the performance of an automatic trademark matching system is robust with respect to the increase in the database size. …”
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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“…The Fuzzy c-means clustering improved the accuracy of classification task to 40.53%. In the next phase, the local SIFT descriptor is augmented with two global descriptors. …”
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Training data selection for record linkage classification
Published 2023“…Random forest and support vector machine classification algorithms were compared, and random forest with the top and imbalanced construction produced an F1 -score comparable to probabilistic record linkage using the expectation maximisation algorithm and EpiLink. …”
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A new hybrid technique for nosologic segmentation of primary brain tumors / Shafaf Ibrahim
Published 2015“…The performance of the algorithms is quantified by two measurements which are segmentation accuracy and classification accuracy. …”
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AUTONOMOUS MOBILE ROBOT VISION BASED SYSTEM: HUMAN DETECTION BY COLOR
Published 2013“…Then classification algorithm is applied to find the centroid of the human. …”
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Iban Plaited Mat Motif Classification using Adaptive Smoothing
Published 2024“…First, the accuracy of the Scale Invariant Feature Transform (SIFT) combined with the Random Sample Consensus (RANSAC) algorithm was assessed on the dataset. The optimal peak threshold value for SIFT is reported to be 2.0e-2, and it achieved 100.0% matching accuracy for scale and rotation set. …”
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Classification of Emphysema Patterns in Computed Tomography Based On Gabor Filter
Published 2015“…The proposed emphysema classification algorithm involves four aspects, image pre-processing, feature extraction, matching (classification), and decision making. …”
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A comparative study in classification techniques for unsupervised record linkage model
Published 2011“…In order to utilize the supervised classification algorithms without consuming a lot of time for labeling data manually, a two step method which selects the training data automatically has been proposed in previous studies. …”
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