Search Results - ((pattern classification) OR (((data classification) OR (image classification)))) problems

Thresholding and Fuzzy Rule-Based Classification Approaches in Handling Mangrove Forest Mixed Pixel Problems Associated with in QuickBird Remote Sensing Image Analysis by Mohd, Othman *, Nanna , Suryanna, Sahib@Sahibuddin, Shahrin, Abdollah, Mohd Faizal, Selamat, Siti Rahayu

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Classification Modeling for Malaysian Blooming Flower Images Using Neural Networks by Muhammad Ashraq, Salahuddin

“…For the classification of flower images, the problem is mainly due to the huge similarities in terms of colour and texture. …”
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A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem by Mohd Pozi, Muhammad Syafiq

“…There are two methods in dealing with imbalanced classification problem, which are based on data or algorithmic level. …”
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Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition by Ali Adlan, Hanan Hassan

“…The two approaches were applied to image pattern recognition problems. The RSNN was applied to automatic target recognition problem. …”
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Plant recognition based on identification of leaf image using image processing / Nor Silawati Sha’ari by Sha’ari, Nor Silawati

“…NN such as Artificial Neural Network (ANN) and K-Nearest Neighbor (KNN) is trained in developing a classification system for agriculture purpose. ANN and KNN is applied to solve the problems in image analysis, pattern recognition and classification. …”
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Classification Of Eggshell Translucent Areas For Quality Determination Using Alexnet by Wong, Hsueh Chung

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Deep plant: A deep learning approach for plant classification / Lee Sue Han by Lee , Sue Han

“…Besides using solely a single leaf organ to recognize plant species, numerous studies have employed DL methods to solve multi-organ plant classification problem. They focus on generic feature as such the holistic representation of a plant image, disregarding its organ features. …”
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Improved attentive pairwise interaction (API-Net) for fine-grained image classification by Yet, Ong Zu, Rassem, Taha H., Rahman, Md. Arafatur, M. M., Rahman

“…Fine-grained classification is a challenging problem as one has to deal with a similar class of objects but with various types of variations. …”
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An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

“…Major problems in classification task are large amount of training data, large number of features and different behavior of data streams that reduce accuracy and increase computational cost in classifier training phase. …”
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Featureless EMG Pattern Recognition Based On Convolutional Neural Network by Abdullah, Abdul Rahim, Too, Jing Wei, Mohd Saad, Norhashimah, Mohd Ali, Nursabillilah, Tengku Zawawi, Tengku Nor Shuhada

“…The TFRs or spectrogram images are then directly fed into the convolutional neural network (CNN) for classification. …”
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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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Ficusdeltoidea (Jack) Moraceae Varietal Identification Using Statistical Recognition Approach by Ahmad Fakhri, Ab. Nasir, M. Nordin, A. Rahman, Nashriyah, Mat, A. Rasid, Mamat, Ahmad Shahrizan, Abdul Ghani

“…Plant species identification is one of important application in pattern recognition. Selection of relevant features for classification is a classical problem in statistical pattern recognition and data mining. …”
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Face emotion recognition using artificial intelligence techniques by Kartigayan Muthukaruppan

“…FER is achieved in two parts, they are image processing part and classification part. The first part investigates a set of image processing methods suitable for recognizing the face emotion. …”
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Hellinger distance decision tree (HDDT) classification of gender with imbalance statistical face features / Muhamad Hasbullah Mohd Razali, Muhammad Farhan Muhammad and Balkiah Mokt... by Mohd Razali, Muhamad Hasbullah, Muhammad, Muhammad Farhan, Moktar, Balkiah

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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

“…One common problem in pattern recognition is dealing with multidimensional data, which is prominent in studies involving spectral data such as ultraviolet visible (UV/Vis), infrared (IR), and Raman spectroscopy data. …”
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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

“…The use of texture analysis in texture and medical image classification has attracted considerable attention. …”
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An enhanced generalized adaptive resonance theory neural network and its application to medical pattern classification by Yap K.S., Lim C.P., Mohamad-Saleh J.

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Grid-Based Classifier as a Replacement for Multiclass Classifier in a Supervised Non-Parametric Approach by Moheb Pour, Majid Reza

“…The experimental results on artificial data sets and real-world data sets (from UCI Repository) show that the new method could improve both the efficiency and accuracy of pattern classification. …”
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Text classification using modified multi class association rule by Kamaruddin, Siti Sakira, Yusof, Yuhanis, Husni, Husniza, Al Refai, Mohammad Hayel

“…Although previous work proved that Associative Classification produces better classification accuracy compared to typical classifiers, the study on applying Associative Classification to solve text classification problem are limited due to the common problem of high dimensionality of text data and this will consequently results in exponential number of generated classification rules. …”
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An artificial neural network for pattern classification and visualization by Sandra,, Ong Pi Yin.

“…Today, ANN has proven to be able to im itate the human neural network and perform task such as solving real world problems. This study aims to explore in detail an ANN model that is able to perform the task of pattern classification and visualisation , and as well as to evaluate the performance of this model. …”
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