Search Results - between ((((working algorithm) OR (matching algorithm))) OR (learning algorithm))

Comparison between Lamarckian Evolution and Baldwin Evolution of neural network by Taha, Imad, Inazy, Qabas

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Real Time Tracking and Face Recognition Using Web Camera by Thirunavakkarasu, Punithavathi

“…A tracking system is developed to work together with the face recognition algorithm. …”
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Selection of prospective workers using profile matching algorithm on crowdsourcing platform by Cucus, Ahmad, Aji, Luhur Bayu, Al Fahim, Mubarak Ali, Aminuddin, Afrig, Farida, Lilis Dwi

“…And the results obtained indicate an increase in the match between workers and the needs of the work offered by the requester.…”
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Shape matching and object recognition using dissimilarity measures with Hungarian algorithm by Chitra, D., Manigandan, T., Devarajan, N.

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A new text-based w-distance metric to find the perfect match between words by Ali, M., Jung, L.T., Hosam, O., Wagan, A.A., Shah, R.A., Khayyat, M.

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A new function of stereo matching algorithm based on hybrid convolutional neural network by Hamid, Mohd Saad, Kadmin, Ahmad Fauzan, Abd Manap, Nurulfajar, Hamzah, Rostam Affendi, Abd Gani, Shamsul Fakhar, Herman, Adi Irwan

“…This paper proposes a new hybrid method between the learning-based and handcrafted methods for a stereo matching algorithm. …”
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AR oriented pose matching mechanism from motion capture data by Iqbal J., Sidhu M.S., Ariff M.B.M.

“…This proposed algorithm is compared with other published methods in terms of frame level accuracy and learning time of dance session. …”

Gradient Magnitude Differences And Guided Filter For Stereo Video Matching Algorithm by Hamid, Mohd Saad, Hamzah, Rostam Affendi, Kadmin, Ahmad Fauzan, Abd Gani, Shamsul Fakhar, A Aziz, Khairul Azha, Salam, Saifullah, Tg. Wook, Tg Mohd Faizal

“…This paper proposes a new stereo video matching algorithm which uses Gradient Magnitude (GM) differences and Guided Filter (GF).The radiometric and edges distortions are the problems that contribute to the quality of the results for stereo video matching algorithm.Hence,this article proposes an algorithm to reduce these problems.The first stage,the GM is utilized.The GM is strong against the radiometric distortion on an image due to different brightness on an image or between the stereo cameras.The second stage,the GF is used to improve the edges of object matching and it efficiently to remove the noise. …”
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Android Mobile Malware Classification Based on System Call and Permission Using Tokenization by Intan Nurfarahin Binti Ahmad

Indoor positioning using weighted magnetic field signal distance similarity measure and fuzzy based algorithms by Bundak, Caceja Elyca

“…A matching algorithm is used to match between the top 10 ranked RPs with the nearest Euclidean distance to the TP with the RPs clustered. …”
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An analysis of the performance of fast block matching motion estimation algorithms by Abdul Manap, Redzuan, Esro, Mazran, Basari, Amat Amir, Ahmad, Badrul Hisham

“…Simulation results demonstrate that DS algorithm has speed up other algorithm’s computational work up to 47.8% on average though at the same time gives poorer performance in terms of average PSNR to others. …”
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Performance analysis of block matching algorithms in motion estimation by Abdul Manap, Redzuan, Esro, Mazran, Basari, Amat Amir, Ahmad, Badrul Hisham

“…Simulation results demonstrate that DS algorithm has speed up other algorithm’s computational work up to 48% on average while at the same time gives close performance in terms of average PSNR to others. …”
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Partial Binary Tree Network (Pbtn): A New Dynamic Element Matching (Dem) Approach To Current Steering Digital Analog Converter (Dac) by Teh , Choon Yan

“…In this research, a new DEM algorithm is proposed on Current-Steering DACs with Partial Binary Tree Network (PBTN) algorithm to overcome glitches transitions with low complexity. …”
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Stereo matching algorithm using deep learning and edge-preserving filter for machine vision by Abd Gani, Shamsul Fakhar, Miskon, Muhammad Fahmi, Hamzah, Rostam Affendi, Hamid, Mohd Saad, Kadmin, Ahmad Fauzan, Herman, Adi Irwan

“…This paper proposes a hybrid method of a stereo matching algorithm with the goal of generating an accurate disparity map critical for applications such as 3D surface reconstruction and robot navigation to name a few. …”
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Recognition of human motion from qualitative normalised templates by Chan, C.S., Liu, H., Brown, D.J.

“…In contrast to other human motion classification methods which usually include a human model, prior knowledge on human motion and a matching algorithm, we replace the matching algorithm (e.g. template matching) with the proposed QNTs. …”
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A study on data-driven impedance matching in four channels bilateral teleoperation by Ramli, Mohd Syakirin, Ahmad, Hamzah, Razali, Saifudin, Othman, Nur Aqilah, Daud, Mohd Razali, Irawan, Addie, Mohd Nizam, Md Isa

“…The main objective of this research is to design and develop control algorithms to drive both sides of the master and slave system to attain symmetrical impedance between them. …”
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A Pixel Matching Process And Multiples Roi For Stereo Images In Stereo Vision Application by Hamzah, Rostam Affendi, Salleh, Azahari, A Aziz, Khairul Azha, Mohammed Napiah, Zul Atfyi Fauzan

“…This paper presents an analysis of stereo images for an application of stereo vision application. The matching process is to determine the difference of intensities of pixel between stereo images while the region of interest ROI works as a reference area to the stereo vision application. …”
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Quantifying usability prioritization using K-means clustering algorithm on hybrid metric features for MAR learning by Lim K.C., Selamat A., Mohamed Zabil M.H., Selamat M.H., Alias R.A., Puteh F., Mohamed F., Krejcar O.

“…Augmented reality; Learning algorithms; Machine learning; Usability engineering; Between clusters; Mobile augmented reality; Prioritization; Prioritization techniques; Unsupervised machine learning; Usability; K-means clustering…”

An Intelligent Data-Driven Approach for Electrical Energy Load Management Using Machine Learning Algorithms by Akhtar, Shamim, Muhamad Zahim, Sujod, Rizvi, Syed Sajjad Hussain

“…The comprehensive comparative study preparatory to the recommendation of the best candidate out of 24 machine learning algorithms on the SEIL dataset is presented in this work. …”
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Functional link neural network with modified bee-firefly learning algorithm for classification task by Mohmad Hassim, Yana Mazwin

“…This work proposed the implementation of modified Artificial Bee Colony with Firefly algorithm for training the FLNN network to overcome the drawback of BP-learning algorithm. …”
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