AIMC Topic: Pattern Recognition, Automated

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Fast Multiclass Dictionaries Learning With Geometrical Directions in MRI Reconstruction.

IEEE transactions on bio-medical engineering Nov 25, 2015
OBJECTIVE: Improve the reconstructed image with fast and multiclass dictionaries learning when magnetic resonance imaging is accelerated by undersampling the k-space data.
Phantoms, Imaging Data Compression Subtraction Technique Sample Size Artifacts Pattern Recognition, Automated Image Enhancement Brain Reproducibility of Results Sensitivity and Specificity Magnetic Resonance Imaging Humans Machine Learning Algorithms
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A Spiking Neural Network Methodology and System for Learning and Comparative Analysis of EEG Data From Healthy Versus Addiction Treated Versus Addiction Not Treated Subjects.

IEEE transactions on bio-medical engineering Nov 24, 2015
UNLABELLED: This paper introduces a method utilizing spiking neural networks (SNN) for learning, classification, and comparative analysis of brain data. As a case study, the method was applied to electroencephalography (EEG) data collected during a G...
Diagnosis, Computer-Assisted Cognition Electroencephalography Methadone Reproducibility of Results Adult Sensitivity and Specificity Male Opioid-Related Disorders Pattern Recognition, Automated Humans Neural Networks, Computer Machine Learning Brain Female
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Detection of Dendritic Spines Using Wavelet-Based Conditional Symmetric Analysis and Regularized Morphological Shared-Weight Neural Networks.

Computational and mathematical methods in medicine Nov 24, 2015
Identification and detection of dendritic spines in neuron images are of high interest in diagnosis and treatment of neurological and psychiatric disorders (e.g., Alzheimer's disease, Parkinson's diseases, and autism). In this paper, we have proposed...
Algorithms Pattern Recognition, Automated Image Processing, Computer-Assisted Cells, Cultured Animals Imaging, Three-Dimensional Humans Neural Networks, Computer Microscopy, Confocal Computational Biology Rats Wavelet Analysis Dendritic Spines
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Constrained Metric Learning by Permutation Inducing Isometries.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Nov 19, 2015
The choice of metric critically affects the performance of classification and clustering algorithms. Metric learning algorithms attempt to improve performance, by learning a more appropriate metric. Unfortunately, most of the current algorithms learn...
Algorithms Databases, Factual Automobiles Pedestrians Humans Machine Learning Face Pattern Recognition, Automated Play and Playthings
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Group-regularized individual prediction: theory and application to pain.

NeuroImage Nov 17, 2015
Multivariate pattern analysis (MVPA) has become an important tool for identifying brain representations of psychological processes and clinical outcomes using fMRI and related methods. Such methods can be used to predict or 'decode' psychological sta...
Young Adult Machine Learning Brain Mapping Adult Humans Biomarkers Pattern Recognition, Automated Male Brain Pain Perception Magnetic Resonance Imaging Female
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Learning Low-Rank Class-Specific Dictionary and Sparse Intra-Class Variant Dictionary for Face Recognition.

PloS one Nov 16, 2015
Face recognition is challenging especially when the images from different persons are similar to each other due to variations in illumination, expression, and occlusion. If we have sufficient training images of each person which can span the facial v...
Sample Size Least-Squares Analysis Lighting Image Interpretation, Computer-Assisted Pattern Recognition, Automated Facial Recognition Databases, Factual Female Male Models, Statistical Artificial Intelligence Machine Learning Software Algorithms Humans
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The feature selection bias problem in relation to high-dimensional gene data.

Artificial intelligence in medicine Nov 14, 2015
OBJECTIVE: Feature selection is a technique widely used in data mining. The aim is to select the best subset of features relevant to the problem being considered. In this paper, we consider feature selection for the classification of gene datasets. G...
Humans Algorithms Bias Data Mining Linear Models Oligonucleotide Array Sequence Analysis Computational Biology Pattern Recognition, Automated Decision Support Techniques Gene Expression Regulation, Neoplastic Support Vector Machine Reproducibility of Results Databases, Genetic Biomarkers, Tumor Gene Expression Profiling
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Prediction the Substrate Specificities of Membrane Transport Proteins Based on Support Vector Machine and Hybrid Features.

IEEE/ACM transactions on computational biology and bioinformatics Nov 11, 2015
Membrane transport proteins and their substrate specificities play crucial roles in a variety of cellular functions. Identifying the substrate specificities of membrane transport proteins is closely related to the protein-target interaction predictio...
Pattern Recognition, Automated Membrane Transport Proteins Binding Sites Substrate Specificity Molecular Docking Simulation Protein Interaction Mapping Algorithms Protein Binding Sequence Analysis, Protein Support Vector Machine Models, Chemical
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Feature Set Evaluation for Offline Handwriting Recognition Systems: Application to the Recurrent Neural Network Model.

IEEE transactions on cybernetics Nov 6, 2015
The performance of handwriting recognition systems is dependent on the features extracted from the word image. A large body of features exists in the literature, but no method has yet been proposed to identify the most promising of these, other than ...
Algorithms Databases, Factual Image Processing, Computer-Assisted Pattern Recognition, Automated Handwriting Humans Neural Networks, Computer
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Development of intelligent systems based on Bayesian regularization network and neuro-fuzzy models for mass detection in mammograms: A comparative analysis.

Computer methods and programs in biomedicine Nov 6, 2015
Female breast cancer is the second most common cancer in the world. Several efforts in artificial intelligence have been made to help improving the diagnostic accuracy at earlier stages. However, the identification of breast abnormalities, like masse...
Normal Distribution Fuzzy Logic Pectoralis Muscles Models, Statistical Radiographic Image Interpretation, Computer-Assisted Female Humans Mammography Breast Reproducibility of Results Artificial Intelligence Bayes Theorem Pattern Recognition, Automated Breast Neoplasms Algorithms Nerve Net Diagnosis, Computer-Assisted Databases, Factual
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