Search Results - ((pattern classification) OR (image classification)) (problems OR problem )*
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Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition
Published 2004“…The two approaches were applied to image pattern recognition problems. The RSNN was applied to automatic target recognition problem. …”
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Classification Modeling for Malaysian Blooming Flower Images Using Neural Networks
Published 2013“…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 feature-based wavelet completed local ternary pattern (FEAT-WCLTP) for texture and medical image classification
Published 2019“…The use of texture analysis in texture and medical image classification has attracted considerable attention. …”
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A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem
Published 2016“…There are two methods in dealing with imbalanced classification problem, which are based on data or algorithmic level. …”
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Plant recognition based on identification of leaf image using image processing / Nor Silawati Sha’ari
Published 2018“…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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A new feature-based wavelet completed local ternary pattern (Feat-WCLTP) for texture image classification
Published 2020“…The experimental results showed that the Feat-WCLTP not only overcomes the CLTP's dimensionality problem but also further improves the classification accuracy.…”
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Classification of diabetic retinopathy clinical features using image enhancement technique and convolutional neural network / Abdul Hafiz Abu Samah
Published 2021“…Based on investigation different architecture and parameter, the suitable deep learning model has been presented to get optimize best result and testing time. To solving pattern classification problem, the optimization deep learning architecture and parameter by using four convolution layers is set up to classify the three pathological signs; HEM, MA and exudate. …”
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Texture analysis using local ternary pattern for face anti-spoofing
Published 2016“…Various feature extraction methods for texture classification including local Binary Patterns emerge as one of the most popular method because of its simplicity and classification accuracy. …”
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Improved attentive pairwise interaction (API-Net) for fine-grained image classification
Published 2021“…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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Ficusdeltoidea (Jack) Moraceae Varietal Identification Using Statistical Recognition Approach
Published 2017“…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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Deep plant: A deep learning approach for plant classification / Lee Sue Han
Published 2018“…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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Featureless EMG Pattern Recognition Based On Convolutional Neural Network
Published 2019“…The TFRs or spectrogram images are then directly fed into the convolutional neural network (CNN) for classification. …”
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Web page classification using convolutional neural network (CNN) towards eliminating internet addiction
Published 2021“…This paper is proposing a web page classification model using a Convolutional Neural Network (CNN) to classify the web page, then identify whether it is a Game or Online Video Streaming based on the pattern of words in the word cloud image taken from the web page text content. …”
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BREAST CANCER DETECTION USING COMPUTATIONAL INTELLIGENCE
Published 2005“…Accordingly, the scope of this project is based on the pattern recognition system, which includes preprocessing, feature extraction, and classification. …”
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Final Year Project -
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Illumination compensation in pig skin texture using local-global block analysis
Published 2009“…Variable illumination in a texture is a common problem occurs to a real-time image modalities. The imbalance illumination in a texture creates virtual regions within one image, hence it affects the performance of the classification methods because it introduced an artifact patterns or virtual regions to an image. …”
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…The aim of data mining is to search and find undetermined patterns in huge databases. A well known task is classification that predicts the class of new instances using known features or attributes automatically. …”
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