Search Results - (( data extraction method algorithm ) OR ( frames extraction sensor algorithm ))

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  1. 1

    AR oriented pose matching mechanism from motion capture data by Iqbal J., Sidhu M.S., Ariff M.B.M.

    Published 2023
    “…In order to extract the exact matched pose, the frame sequence is divided into pose feature frame and skeletal data frame by the use of pose matching dance training movement recognition algorithm (PMDTMR). …”
    Article
  2. 2

    Vision-Based Autonomous Vehicle Driving Control System by Isa, Khalid

    Published 2005
    “…In this subsystem, image-capturing techniques capture the video images frame by frame. After that, lane detection process extracts the information about vehicle position with respect to the highway lane. …”
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    Thesis
  3. 3

    Vision-based autonomous vehicle driving control system by Isa, Khalid

    Published 2005
    “…In this subsystem, image-capturing techniques capture the video images frame by frame. After that, lane detection process extracts the information about vehicle position with respect to the highway lane. …”
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    Thesis
  4. 4

    Correlation-based subset evaluation of feature selection for dynamic Malaysian sign language by Sutarman, .

    Published 2016
    “…One factor is the quality of the data or information held. The process of data model extraction will be more difficult if the information held is irrelevant or contains redundancies, or if the data obtained contains high noise. …”
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    Thesis
  5. 5

    HUMAN MOTION ANALYSIS IN VIDEO SURVEILLANCE SYSTEM by LO , TIMOTHY YIN HONG

    Published 2019
    “…A video sequence consists of sequences of frame, with the detection algorithm, these frames can be analyzed and detect any” “abnormal behavior such as crime.” …”
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    Final Year Project
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    Text Extraction Algorithm for Web Text Classification by Theab, Mustafa Muwafak

    Published 2010
    “…This study provides a text extraction algorithm for web text classification. The extraction algorithm consists of three phases namely web page extraction, rule formulation, and algorithm validation. …”
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    Thesis
  8. 8

    Slam-based mapping for object recognition by Loh, Wan Ying

    Published 2018
    “…The SIFT (Scale-Invariant Feature Transform) is used to extract features from the current frame and match with the object database to identify and recognize the object whenever the robot come across the object. …”
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    Final Year Project / Dissertation / Thesis
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    Extracting feature from images by using K-Means clustering algorithm / Abdul Hakim Zainal Abidin by Zainal Abidin, Abdul Hakim

    Published 2016
    “…The result of this research show that nearly all image has accuracy more than 80% that prove that K-Means clustering algorithm are suitable as method for extracting meaningful information in images.…”
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    Thesis
  11. 11

    An efficient indexing and retrieval of iris biometrics data using hybrid transform and firefly based K-means algorithm title by Khalaf, Emad Taha

    Published 2019
    “…The enhanced method combines three transformation methods for analyzing the iris image and extracting its local features. …”
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    Thesis
  12. 12

    Realization Of The 1D Local Binary Pattern (LBP) Algorithm In Raspberry Pi For Iris Classification Using K-NN Classifier by Siow, Shien Loong

    Published 2018
    “…There are a lot of feature extraction methods and classification methods for iris classification. …”
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    Monograph
  13. 13

    Social media mining: a genetic based multiobjective clustering approach to topic modelling by Alfred, Rayner, Loo, Yew Jie, Obit, Joe Henry, Lim, Yuto, Haviluddin, Haviluddin, Azman, Azreen

    Published 2021
    “…Topic extraction refers to the process of extracting main topics from the pool of news feed and a typical method to perform topic extraction is through clustering. …”
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    Article
  14. 14

    A fast feature extraction algorithm for image and video processing by Abdulhussain, Sadiq H., Ramli, Abdul Rahman, Mahmmod, Basheera M., Saripan, M. Iqbal, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Baker, Thar, Flayyih, Wameedh Nazar, Jassim, Wissam A.

    Published 2019
    “…We compared the proposed method with the traditional approach of feature extraction using a standard image technique. …”
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    Conference or Workshop Item
  15. 15

    An efficient algorithm for cardiac arrhythmia classification using ensemble of depthwise Separable convolutional neural networks by Ihsanto, Eko, Ramli, Kalamullah, Sudiana, Dodi, Gunawan, Teddy Surya

    Published 2020
    “…In the training phase, around 22% of the 110,057 beats data extracted from 48 records were utilized. Using only these 22% labeled training data, our proposed algorithm was able to classify the remaining 78% of the database into 16 classes. …”
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    Article
  16. 16

    Electroencephalogram-based decoding cognitive states using convolutional neural network and likelihood ratio based score fusion by Zafar, R., Dass, S.C., Malik, A.S.

    Published 2017
    “…This method showed an accuracy of 65.7. However, the proposed method predicts the novel data with improved accuracy of 79.9. …”
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    Article
  17. 17

    Data mining using genetic algorithm in finance data / A. Noor Latiffah and A. B. Nordin by Latiffah, A. Noor, Nordin, A. B.

    Published 2006
    “…The methods that wilt be applied are conventional statistical methods Markowitz Optimization as well as evolutionary programming (EP) utilizing genetic algorithms. …”
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    Conference or Workshop Item
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    Fatigue Features Extraction of Road Load Time Data Using the S-Transform by S., Abdullah, Che Ku Eddy Nizwan, Che Ku Husin, M. F. M., Yunoh, M. Z., Nuawi, Z. M., Nopiah

    Published 2013
    “…This paper presents the algorithm development of a new fatigue data editing technique using S-T approach. …”
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    Article
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