Search Results - pattern classification using

Improved two-ways classification for agent patterns by Cheah, Wai Shiang, Masli, Azman Bujang, Mit, Edwin, Abdul Halin, Alfian

“…This paper presents a classification scheme for agent patterns. It is an improvement of the existing pattern classifications. …”
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Integration Of Unsupervised Clustering Algorithm And Supervised Classifier For Pattern Recognition by Leong, Shi Xiang

“…In pattern recognition system, achieving high accuracy in pattern classification is crucial. …”
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Songket pattern classification using backpropagation neural network / Nik Aidil Syawalni Nik Mazlan by Nik Mazlan, Nik Aidil Syawalni

“…Despite to the several system limitations, the project on classifies Songket pattern using BPNN is consider successful. The outcomes of this investigation show the originality and efficacy of employing BPNNs for Songket pattern classification, resulting in good accuracy rates in the classification of Songket. …”
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Multilevel learning in Kohonen SOM network for classification problems by Mohd. Yusof, Norfadzila

“…Self-organizing map (SOM) is a feed-forward neural network approach that uses an unsupervised learning algorithm has shown a particular ability for solving the problem of classification in pattern recognition. …”
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A survey of fuzzy min max neural networks for pattern classification: variants and applications by Al Sayaydeh, Osama Nayel, Mohammed, Mohammed Falah, Lim, Chee Peng

“…Artificial neural networks and fuzzy logic are the two most widely used models in pattern classification. To build an efficient and powerful model, researchers have introduced hybrid models that combine both fuzzy logic and artificial neural networks. …”
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Accuracy assessment of urban growth pattern classification methods using confusion matrix and ROC analysis by Ghani N.L.A., Abidin S.Z.Z., Khalid N.E.A.

Completed Local Ternary Pattern for Rotation Invariant Texture Classification by Rassem, Taha H., Bee, Ee Khoo

“…In this paper, a novel completed modeling of the Local Ternary Pattern (LTP) operator is proposed to overcome both LBP drawbacks, and an associated completed Local Ternary Pattern (CLTP) scheme is developed for rotation invariant texture classification. …”
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Realization Of The 1D Local Binary Pattern (LBP) Algorithm In Raspberry Pi For Iris Classification Using K-NN Classifier by Siow, Shien Loong

“…There are a lot of feature extraction methods and classification methods for iris classification. Classic local binary pattern (LBP) is one of the most useful feature extraction methods. …”
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Pattern Recognition for Human Diseases Classification in Spectral Analysis by Nur Hasshima Hasbi, Abdullah Bade, Fuei, Pien Chee, Muhammad Izzuddin Rumaling

“…The use of UV/Vis, IR, and Raman spectroscopy for disease classification is also highlighted. …”
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Individual And Ensemble Pattern Classification Models Using Enhanced Fuzzy Min-Max Neural Networks by F. M., Mohammed

“…Pattern classification is one of the major components for the design and development of a computerized pattern recognition system. …”
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Demonstration Of Palm Vein Pattern Biometric Recognition By Machine Learning by Mohd Noh, Zarina, Ramlee, Ridza Azri, Ahmad Radzi, Syafeeza, Ramlee, Ridza Azri

“…The differences in the recognition rate can only be seen if the LBP features extracted for the classification are different. In general, a higher recognition rate can be achieved for palm vein pattern biometric system if all LBP bins are used for the classification, compared to if only selected features are used for the purpose. …”
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Colour texture image classification using colour completed local binary pattern (CCLBP) by Al Aidaros, Hussein Ali Hasan

“…Local Binary Pattern (LBP) descriptor is being used successfully for the classification of textures. …”
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Pattern Classification of Human Epithelial Images by Mohd Isa, Mohd Fazlie

“…This project shows an important role to diagnosis autoimmune disorder which is by a comparative analysis on the most appropriate clustering technique for the segmentation and also to develop algorithm for positivity classification. In this project, there are four stages will be used to analyze pattern classification in human epithelial (HEp-2) images. …”
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Spectral Estimation And Supervised Classification Technique For Real Time Electromyography Pattern Recognition by Burhan, Nuradebah

“…Subsequently,the filtered signal containing useful information was extracted by three methods  root mean square (RMS),mean absolute value (MAV),and autoregressive (AR) covariance,all of which are commonly used in TD.A comparative analysis of the three different techniques was performed based on the accuracy performance of the EMG pattern classification using linear vector quantization (LVQ) neural network.In the experimental work undertaken,six healthy subjects comprised of males and females were selected. …”
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A new feature-based wavelet completed local ternary pattern (FEAT-WCLTP) for texture and medical image classification by Shamaileh, Abeer Moh'd Salem

“…Nowadays, texture image descriptors are used in many important real-life applications. The use of texture analysis in texture and medical image classification has attracted considerable attention. …”
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Neural network paradigm for classification of defects on PCB by Heriansyah, Rudi, Syed Al-Attas, Syed Abdul Rahman, Zabidi, Muhammad Mun'im Ahmad

“…A new technique is proposed to classify the defects that could occur on the PCB using neural network paradigm. The algorithms to segment the image into basic primitive patterns, enclosing the primitive patterns, patterns assignment, patterns normalization, and classification have been developed based on binary morphological image processing and Learning Vector Quantization (LVQ) neural network. …”
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Texture representation for wood defect image classification using enhanced colour uniform local binary pattern by Rahiddin, Rahillda Nadhirah Norizzaty

“…The findings highlight the importance of systematic preprocessing using colour normalization and statistical validation using Multivariate Analysis of Variance (MANOVA) to improve classification performance. …”
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Analysis of partial discharge measurement data using a support vector machine by Aziz N.F.A., Hao L., Lewin P.L.

“…SVM provides a new approach to pattern classification and has been proven to be successful in fields such as image identification and face recognition. …”

Automated Classification System for HEp-2 Cell Patterns by Nor Shaharim, Nur Ashiqin

“…The most commonly used method to classify the patterns is manual evaluation. …”
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A modified fuzzy min-max neural network with a genetic-algorithm-based rule extractor for pattern classification by Quteishat, A., Lim, C.P., Tan, K.S.

“…In this paper, a two-stage pattern classification and rule extraction system is proposed. …”
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