Search Results - (( java application tree algorithm ) OR ( data classification matching algorithm ))
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Improving sentiment reviews classification performance using support vector machine-fuzzy matching algorithm
Published 2023“…High dimensionality in data sets is one of the challenges faced in classification, data mining, and sentiment analysis. …”
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Trademark image classification approaches using neural network and rough set theory
Published 2003“…The approaches contain five major stages, namely: image acquisition, image preprocessing, feature extraction, data transformation and classification. Feature normalization and data discretization techniques are utilized to perform the data transformation phase. …”
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Converged Classification Network For Matching Cost Computation
Published 2020“…The stereo matching algorithm capable of producing the disparity or depth map in computer. …”
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Training data selection for record linkage classification
Published 2023“…The top and imbalanced construction was found to be the most effective in producing training data with 100% correct labels. 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 Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition
Published 2002“…Rough sets theory represents a mathematical approach to vagueness and uncertainty. Data analysis, data reduction, approxi mate classification, machine learning, and discovery of pattern in data are functions performed by a rough sets analysis. …”
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An Ar Natural Marker Similarities Measurement Algorithm For E-Biodiversity
Published 2018“…Algorithms of investigation starting with span from extraction, matching and classification to determine the interest point of flower species, like colour and shape features information. …”
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Non-fiducial based electrocardiogram biometrics with kernel methods
Published 2017“…The lowest biometric errors of false non-match rate and false match rate are decreased to about 6.19% and 1.79%, respectively on the KPCA data set.…”
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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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A new hybrid technique for nosologic segmentation of primary brain tumors / Shafaf Ibrahim
Published 2015“…It is designed to incorporate with the CAPSOCA algorithm which intended to strengthen the classification outcomes. …”
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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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Android Mobile Malware Classification Based on System Call and Permission Using Tokenization
Published 2024thesis::master thesis -
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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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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Measuring height of high-voltage transmission poles using unmanned aerial vehicle (UAV) imagery
Published 2017“…Results were compared with well-known algorithms; including, for example, global and local stereo matching algorithms. …”
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An improved plant identification system by Fuzzy c-means bag of visual words model and sparse coding
Published 2020“…This demonstrate the intensity of the correlation between that aspect of data and a specific cluster. In the classic Bag of visual words model, the Fuzzy c-means algorithm is replaced with K-means and the accuracy of SIFT matching is increased. …”
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Mining Sequential Patterns using I-PrefixSpan
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