AIMC Topic: Pattern Recognition, Automated

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Deep neural networks for texture classification-A theoretical analysis.

Neural networks : the official journal of the International Neural Network Society Oct 23, 2017
We investigate the use of Deep Neural Networks for the classification of image datasets where texture features are important for generating class-conditional discriminative representations. To this end, we first derive the size of the feature space f...
Classification Likelihood Functions Databases, Factual Image Processing, Computer-Assisted Pattern Recognition, Automated Neural Networks, Computer Algorithms
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Consensus Kernel -Means Clustering for Incomplete Multiview Data.

Computational intelligence and neuroscience Oct 22, 2017
Multiview clustering aims to improve clustering performance through optimal integration of information from multiple views. Though demonstrating promising performance in various applications, existing multiview clustering algorithms cannot effectivel...
Information Systems Algorithms Humans Cluster Analysis Artificial Intelligence Pattern Recognition, Automated
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A deep convolutional neural network for classification of red blood cells in sickle cell anemia.

PLoS computational biology Oct 19, 2017
Sickle cell disease (SCD) is a hematological disorder leading to blood vessel occlusion accompanied by painful episodes and even death. Red blood cells (RBCs) of SCD patients have diverse shapes that reveal important biomechanical and bio-rheological...
Humans Anemia, Sickle Cell Image Interpretation, Computer-Assisted Erythrocytes Neural Networks, Computer Computational Biology Microscopy Pattern Recognition, Automated
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Music viewed by its entropy content: A novel window for comparative analysis.

PloS one Oct 17, 2017
Polyphonic music files were analyzed using the set of symbols that produced the Minimal Entropy Description, which we call the Fundamental Scale. This allowed us to create a novel space to represent music pieces by developing: (a) a method to adjust ...
Humans Natural Language Processing Markov Chains Entropy Music Information Storage and Retrieval Pattern Recognition, Physiological Pattern Recognition, Automated Acoustic Stimulation
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Error-Correcting Factorization.

IEEE transactions on pattern analysis and machine intelligence Oct 16, 2017
Error Correcting Output Codes (ECOC) is a successful technique in multi-class classification, which is a core problem in Pattern Recognition and Machine Learning. A major advantage of ECOC over other methods is that the multi-class problem is decoupl...
Machine Learning Algorithms Image Processing, Computer-Assisted Pattern Recognition, Automated Humans Models, Theoretical Escherichia coli Yeasts Face Electronic Data Processing
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Cervical cancer histology image identification method based on texture and lesion area features.

Computer assisted surgery (Abingdon, England) Oct 16, 2017
The issue of an automated approach for detecting cervical cancer is proposed to improve the accuracy of recognition. Firstly, the cervical cancer histology source images are needed to use image preprocessing for reducing the impact brought by noise o...
Adenocarcinoma Support Vector Machine Cluster Analysis Immunohistochemistry Feasibility Studies Female Humans Histological Techniques Image Interpretation, Computer-Assisted Carcinoma, Squamous Cell Algorithms Uterine Cervical Neoplasms Pattern Recognition, Automated
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Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI.

NeuroImage. Clinical Oct 12, 2017
Automatic segmentation of brain tissues and white matter hyperintensities of presumed vascular origin (WMH) in MRI of older patients is widely described in the literature. Although brain abnormalities and motion artefacts are common in this age group...
Artifacts Pattern Recognition, Automated Male White Matter Humans Image Processing, Computer-Assisted Neural Networks, Computer Magnetic Resonance Imaging Brain Female Reproducibility of Results Aged
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Recognition of pigment network pattern in dermoscopy images based on fuzzy classification of pixels.

Computer methods and programs in biomedicine Oct 7, 2017
BACKGROUND AND OBJECTIVE: One of the most relevant dermoscopic patterns is the pigment network. An innovative method of pattern recognition is presented for its detection in dermoscopy images.
Dermoscopy Fuzzy Logic Pattern Recognition, Automated Pigments, Biological
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Fuzzy-Rough Cognitive Networks.

Neural networks : the official journal of the International Neural Network Society Sep 28, 2017
Rough Cognitive Networks (RCNs) are a kind of granular neural network that augments the reasoning rule present in Fuzzy Cognitive Maps with crisp information granules coming from Rough Set Theory. While RCNs have shown promise in solving different cl...
Neural Networks, Computer Algorithms Computer Simulation Cognition Models, Theoretical Pattern Recognition, Automated Fuzzy Logic Decision Trees Problem Solving Bayes Theorem Discrimination, Psychological Benchmarking
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Distant Supervision with Transductive Learning for Adverse Drug Reaction Identification from Electronic Medical Records.

Journal of healthcare engineering Sep 26, 2017
Information extraction and knowledge discovery regarding adverse drug reaction (ADR) from large-scale clinical texts are very useful and needy processes. Two major difficulties of this task are the lack of domain experts for labeling examples and int...
Knowledge Bases Information Storage and Retrieval Medical Informatics Humans Natural Language Processing Linear Models Software Supervised Machine Learning Algorithms Pattern Recognition, Automated Drug-Related Side Effects and Adverse Reactions Electronic Health Records Adverse Drug Reaction Reporting Systems Language
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