Search Results - (( motion estimation technique ) OR ( evolution ((computing techniques) OR (mining techniques)) ))
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Two level Differential Evolution algorithms for ARMA parameters estimatio
Published 2013“…An Evolutionary Algorithm (EA) comprising two-level Differential Evolution (DE) optimization scheme is proposed. The first level searches for the appropriate model order while the second level computes the optimal/sub-optimal corresponding parameters. …”
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Proceeding Paper -
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Data mining in computer auditing / Hiromi Wong, Siew Lan and Valery Fred Lee
Published 2004“…The report will cover the literature review that started with an introduction to computer auditing, introduction to data mining, data mining techniques (classification, neural network and sequential analysis), and the existing data mining software. …”
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Thesis -
3
A review of homogenous ensemble methods on the classification of breast cancer data
Published 2024“…Data mining is a concept established by computer scientists to lead a secure and reliable classification and deduction of data. …”
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Article -
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A review of homogenous ensemble methods on the classification of breast cancer data
Published 2024“…Data mining is a concept established by computer scientists to lead a secure and reliable classification and deduction of data. …”
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Classification with degree of importance of attributes for stock market data mining
Published 2004“…Many statistical and data mining techniques have been used to predict time series stock market. …”
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Article -
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Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…Block-matching algorithm is the most common technique applied in block-based motion estimation technique. …”
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Book Chapter -
7
A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution
Published 2018“…Clustering is one of the essential unsupervised learning techniques in Data Mining. In this paper, a new hybrid (K-DESNN) approach to combine differential evolution and K-means evolving spiking neural network model (K-means ESNN) for clustering problems has been proposed. …”
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Book Chapter -
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Accelerator-based human activity recognition using voting technique with NBTree and MLP classifiers
Published 2023“…In evolution and ubiquitous computing systems, accelerometer-based human activity recognition has huge potential in a large number of application domains. …”
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Video Coding: Comparison of Block Matching Techniques In Motion Estimation
Published 2004“…In order to achieve this, the author has to develop a program that can accommodate motion compensation and estimation by utilizing the computational for the motion estimation techniques, if applicable. …”
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Final Year Project -
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Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique
Published 2015“…Motion estimation is a technique to reduce high information redundancy which exists between successive frames in a video sequences. …”
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Thesis -
11
Fast adaptive motion estimation search algorithm for H.264 encoder
Published 2012“…Motion estimation is a technique of video compression and video processing applications; it extracts motion information from the video sequence. …”
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Thesis -
12
Motion Vector Estimation Search using Hexagon-Diamond Pattern for Video Sequences, Grid Point and Block-Based
Published 2011“…Grid and block-based motion vector estimation techniques are proposed for motion tracking in video sequences. …”
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Article -
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Multilevel optimization for dense motion estimation
Published 2012“…This monograph offers design for fast and reliable technique in the dense motion estimation.This Multilevel Optimization for Dense Motion Estimation work blends both theory and applications to equip reader with an understanding of basic concepts necessary to apply in solving dense motion in a sequence of images.Illustrating well-known variation models for dealing with optical flow estimation, this monograph introduces variation models with applications.A host of variation models are outlines such as Horn-Schunck model, Contrast Invariation Models and Models for Large Displacement.Special attention is also given to multilevel optimization techniques namely multiresolution and multigrid methods to improve the convergence of the global optimum when compared to using only one level resolution in the context of computer vision. …”
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Monograph -
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Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman
Published 2019“…Block Matching Algorithm (BMA) is a technique used to minimize the computational complexity of motion estimation in video coding application. …”
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An evaluation of optical flow algorithms for crowd analytics in surveillance system
Published 2017“…Optical flow technique is one of the significant motion estimation techniques. …”
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New Fast Block Matching Algorithm Using New Hybrid Search Pattern And Strategy To Improve Motion Estimation Process In Video Coding Technique
Published 2016“…Up until today, video compression algorithm has been applied in various video applications ranging from video conferencing to video telephony. Motion Estimation or ME is deemed as one of the effective and popular techniques in video compression. …”
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Thesis -
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Multilevel optimization for dense motion estimation
Published 2011“…This research has been oriented towards the design of a new technique for fast and reliable dense motion estimation. …”
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Monograph -
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Probability distribution of arm trajectory for motion estimation and gesture recognition
Published 2012“…Experimental results show that the use of the system effectively works for classifying various motion patterns and estimating the occluded posture in the motion. …”
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