Search Results - (( frames classification based algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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Thesis -
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Experimental study of urban growth pattern classification using moving window algorithm
Published 2023“…However, literatures are concerned that the existing algorithm may produce incorrect classification result as it is strongly influenced by the size of moving window frame and classification rule. …”
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Image classification using two dimensional wavelet coefficients with parallel computing
Published 2020“…Classification can be done precisely and efficiently for objects identified in the future frame. …”
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Final Year Project / Dissertation / Thesis -
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Optimum Colour Space Selection for Ulcerated Regions Using Statistical Analysis and Classification of Ulcerated Frames from WCE Video Footage
Published 2015“…This paper proposes an ulcerated frame detection method based on RGB and CIE Lab colour spaces. …”
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Book Section -
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Optimum Colour Space Selection for Ulcerated Regions using Statistical Analysis and Classification of Ulcerated Frames from WCE Video Footage
Published 2015“…This paper proposes an ulcerated frame detection method based on RGB and CIE Lab colour spaces. …”
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Conference or Workshop Item -
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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A fuzzy approach for early human action detection / Ekta Vats
Published 2016“…In order to perform early human action detection, the conventional classification problem is modified into frame-by-frame level classification. …”
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Thesis -
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Semantic shot classification in soccer videos via playfield ratio and object size considerations.
Published 2013“…Class labels are then accordingly assigned to each frame based on carefully constructed rule-sets. Majority voting is finally performed where the dominant frame labels within each shot is used as the ultimate class label. …”
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ANALYSIS OF CLASSIFICATION PROCESS FOR VIDEO SCENE UNDERSTANDING
Published 2019“…This project is focused on analyzing the classification process for video scene. The algorithm used in this project will later be evaluated to see its performance. …”
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Final Year Project -
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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Conference or Workshop Item -
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A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Final Year Project / Dissertation / Thesis -
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Vehicle classification technique for automated road traffic census
Published 2014“…This thesis proposes the development of vehicle classification technique for automated road traffic census prototype to replace manually vehicle classification by applying morphological techniques for image classification. …”
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Final Year Project Report / IMRAD -
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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2D and 3D video scene text classification
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Conference or Workshop Item -
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A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking
Published 2010“…As the shape of hand posture keep changing in the subsequent frames, the skin regions updated dynamically. The classification of hand posture makes use of static feature for locating and counting hand fingers. …”
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Proceeding Paper -
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Block Motion Estimation Using Directional Adaptive Search Window
Published 2006“…In this paper, the search range for block-matching ME is made adaptive, based on the motion vectors present in preceding frames. …”
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Multilanguage speech-based gender classification using time-frequency features and SVM classifier
Published 2021“…The classification is done based on features derived from the frequency and time domain processing using the Support Vector Machines (SVM) algorithm. …”
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Book Chapter -
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Deep learning object detector using a combination of Convolutional Neural Network (CNN) architecture (MiniVGGNet) and classic object detection algorithm
Published 2020“…For object detection, sliding windows and image pyramids were used to localize and detect objects at different locations, and non-maxima suppression (NMS) was used to obtain the final bounding box to localize the object location. Based on the experiment result, the percentage of classification accuracy of the network is 80% to 90% and the time for the system to detect the object is less than 15sec/frame. …”
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