AIMC Topic: Pattern Recognition, Automated

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Comparison of Support-Vector Machine and Sparse Representation Using a Modified Rule-Based Method for Automated Myocardial Ischemia Detection.

Computational and mathematical methods in medicine Jan 26, 2016
An automatic method is presented for detecting myocardial ischemia, which can be considered as the early symptom of acute coronary events. Myocardial ischemia commonly manifests as ST- and T-wave changes on ECG signals. The methods in this study are ...
Wavelet Analysis Automation Pattern Recognition, Automated Myocardial Ischemia Sensitivity and Specificity Humans Algorithms Support Vector Machine Image Processing, Computer-Assisted Reproducibility of Results Europe Electrocardiography
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Computer-Aided Diagnosis for Breast Ultrasound Using Computerized BI-RADS Features and Machine Learning Methods.

Ultrasound in medicine & biology Jan 21, 2016
This work identifies effective computable features from the Breast Imaging Reporting and Data System (BI-RADS), to develop a computer-aided diagnosis (CAD) system for breast ultrasound. Computerized features corresponding to ultrasound BI-RADs catego...
Sensitivity and Specificity Breast Neoplasms United States Machine Learning Female Reproducibility of Results Image Interpretation, Computer-Assisted Observer Variation Practice Guidelines as Topic Support Vector Machine Ultrasonography, Mammary Models, Biological Humans Pattern Recognition, Automated
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Prototype-based models in machine learning.

Wiley interdisciplinary reviews. Cognitive science Jan 21, 2016
An overview is given of prototype-based models in machine learning. In this framework, observations, i.e., data, are stored in terms of typical representatives. Together with a suitable measure of similarity, the systems can be employed in the contex...
Data Mining Neural Networks, Computer Pattern Recognition, Automated Machine Learning Statistics as Topic Computer Simulation Neurons
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Nonparametric Feature Matching Based Conditional Random Fields for Gesture Recognition from Multi-Modal Video.

IEEE transactions on pattern analysis and machine intelligence Jan 18, 2016
We present a new gesture recognition method that is based on the conditional random field (CRF) model using multiple feature matching. Our approach solves the labeling problem, determining gesture categories and their temporal ranges at the same time...
Hand Pattern Recognition, Automated Algorithms Gestures Support Vector Machine Humans
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An Effective Color Quantization Method Using Octree-Based Self-Organizing Maps.

Computational intelligence and neuroscience Jan 14, 2016
Color quantization is an essential technique in color image processing, which has been continuously researched. It is often used, in particular, as preprocessing for many applications. Self-Organizing Map (SOM) color quantization is one of the most e...
Humans Neural Networks, Computer Algorithms Learning Image Processing, Computer-Assisted Colorimetry Color Pattern Recognition, Automated
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Diagnosing Parkinson's Diseases Using Fuzzy Neural System.

Computational and mathematical methods in medicine Jan 10, 2016
This study presents the design of the recognition system that will discriminate between healthy people and people with Parkinson's disease. A diagnosing of Parkinson's diseases is performed using fusion of the fuzzy system and neural networks. The st...
Algorithms Acoustics Computer Simulation Humans Fuzzy Logic Pattern Recognition, Automated Diagnosis, Computer-Assisted Neural Networks, Computer Parkinson Disease Machine Learning Models, Statistical
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Real-Time Hand Posture Recognition for Human-Robot Interaction Tasks.

Sensors (Basel, Switzerland) Jan 4, 2016
In this work, we present a multiclass hand posture classifier useful for human-robot interaction tasks. The proposed system is based exclusively on visual sensors, and it achieves a real-time performance, whilst detecting and recognizing an alphabet ...
Humans Algorithms Image Processing, Computer-Assisted Hand Pattern Recognition, Automated Man-Machine Systems Cluster Analysis Posture Robotics
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A Modified Sparse Representation Method for Facial Expression Recognition.

Computational intelligence and neuroscience Jan 4, 2016
In this paper, we carry on research on a facial expression recognition method, which is based on modified sparse representation recognition (MSRR) method. On the first stage, we use Haar-like+LPP to extract feature and reduce dimension. On the second...
Databases, Factual Computer Simulation Pattern Recognition, Automated Facial Expression Pattern Recognition, Visual Humans Artificial Intelligence Algorithms
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A Multiobjective Approach to Homography Estimation.

Computational intelligence and neuroscience Dec 28, 2015
In several machine vision problems, a relevant issue is the estimation of homographies between two different perspectives that hold an extensive set of abnormal data. A method to find such estimation is the random sampling consensus (RANSAC); in this...
Computer Simulation Models, Theoretical Pattern Recognition, Automated Humans Algorithms Artificial Intelligence Decision Support Techniques
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Particle Swarm Optimization with Double Learning Patterns.

Computational intelligence and neuroscience Dec 27, 2015
Particle Swarm Optimization (PSO) is an effective tool in solving optimization problems. However, PSO usually suffers from the premature convergence due to the quick losing of the swarm diversity. In this paper, we first analyze the motion behavior o...
Probability Computer Simulation Biological Evolution Humans Pattern Recognition, Automated Learning Artificial Intelligence Problem Solving Benchmarking
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