AIMC Topic: Pattern Recognition, Automated

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Segmentation of pulmonary nodules in computed tomography using a regression neural network approach and its application to the Lung Image Database Consortium and Image Database Resource Initiative dataset.

Medical image analysis Feb 23, 2015
We present new pulmonary nodule segmentation algorithms for computed tomography (CT). These include a fully-automated (FA) system, a semi-automated (SA) system, and a hybrid system. Like most traditional systems, the new FA system requires only a sin...
Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Regression Analysis Data Interpretation, Statistical Lung Neoplasms Solitary Pulmonary Nodule Humans Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Pattern Recognition, Automated Algorithms Radiography, Thoracic Radiographic Image Enhancement Databases, Factual
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The construction of support vector machine classifier using the firefly algorithm.

Computational intelligence and neuroscience Feb 23, 2015
The setting of parameters in the support vector machines (SVMs) is very important with regard to its accuracy and efficiency. In this paper, we employ the firefly algorithm to train all parameters of the SVM simultaneously, including the penalty para...
Support Vector Machine Artificial Intelligence Pattern Recognition, Automated Algorithms Diagnosis, Computer-Assisted
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A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis.

IEEE transactions on neural networks and learning systems Feb 19, 2015
This paper proposes a probabilistic neural network (NN) developed on the basis of time-series discriminant component analysis (TSDCA) that can be used to classify high-dimensional time-series patterns. TSDCA involves the compression of high-dimension...
Discriminant Analysis Probability Pattern Recognition, Automated Humans Time Factors Models, Statistical Neural Networks, Computer Algorithms
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Dynamic assessment of water quality based on a variable fuzzy pattern recognition model.

International journal of environmental research and public health Feb 16, 2015
Water quality assessment is an important foundation of water resource protection and is affected by many indicators. The dynamic and fuzzy changes of water quality lead to problems for proper assessment. This paper explores a method which is in accor...
China Water Models, Theoretical Environmental Monitoring Pattern Recognition, Automated Water Pollutants, Chemical Fuzzy Logic Water Quality
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Prediction-for-CompAction: navigation in social environments using generalized cognitive maps.

Biological cybernetics Feb 13, 2015
The ultimate navigation efficiency of mobile robots in human environments will depend on how we will appraise them: merely as impersonal machines or as human-like agents. In the latter case, an agent may take advantage of the cooperative collision av...
Humans Neural Networks, Computer Computer Simulation Spatial Navigation Cognition Pattern Recognition, Automated Social Environment
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Automated system for lung nodules classification based on wavelet feature descriptor and support vector machine.

Biomedical engineering online Feb 12, 2015
BACKGROUND: Lung cancer is a leading cause of death worldwide; it refers to the uncontrolled growth of abnormal cells in the lung. A computed tomography (CT) scan of the thorax is the most sensitive method for detecting cancerous lung nodules. A lung...
Wavelet Analysis Sensitivity and Specificity Radiographic Image Interpretation, Computer-Assisted Humans ROC Curve Imaging, Three-Dimensional Referral and Consultation Support Vector Machine Incidental Findings Automation Algorithms Lung Neoplasms Solitary Pulmonary Nodule Pattern Recognition, Automated Tomography, X-Ray Computed Area Under Curve
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Multimodal analysis of functional and structural disconnection in Alzheimer's disease using multiple kernel SVM.

Human brain mapping Feb 9, 2015
Alzheimer's disease (AD) patients exhibit alterations in the functional connectivity between spatially segregated brain regions which may be related to both local gray matter (GM) atrophy as well as a decline in the fiber integrity of the underlying ...
Male Support Vector Machine Humans Magnetic Resonance Imaging Brain Mapping Pattern Recognition, Automated Brain Multimodal Imaging Gray Matter Rest Female Area Under Curve Diffusion Tensor Imaging Alzheimer Disease Aged
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Automated classification of neurological disorders of gait using spatio-temporal gait parameters.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology Feb 7, 2015
OBJECTIVE: Automated pattern recognition systems have been used for accurate identification of neurological conditions as well as the evaluation of the treatment outcomes. This study aims to determine the accuracy of diagnoses of (oto-)neurological g...
Pattern Recognition, Automated Nervous System Diseases Principal Component Analysis Bayes Theorem Algorithms Gait Female Time Factors Reproducibility of Results Neural Networks, Computer Humans Support Vector Machine Male Aged Artificial Intelligence Middle Aged Muscle, Skeletal Aged, 80 and over
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Pervasive Sound Sensing: A Weakly Supervised Training Approach.

IEEE transactions on cybernetics Feb 6, 2015
Modern smartphones present an ideal device for pervasive sensing of human behavior. Microphones have the potential to reveal key information about a person's behavior. However, they have been utilized to a significantly lesser extent than other smart...
Smartphone Support Vector Machine Supervised Machine Learning Human Activities Sound Pattern Recognition, Automated Humans Databases, Factual
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A framework for final drive simultaneous failure diagnosis based on fuzzy entropy and sparse bayesian extreme learning machine.

Computational intelligence and neuroscience Feb 5, 2015
This research proposes a novel framework of final drive simultaneous failure diagnosis containing feature extraction, training paired diagnostic models, generating decision threshold, and recognizing simultaneous failure modes. In feature extraction ...
Humans Pattern Recognition, Automated Fuzzy Logic Neural Networks, Computer Entropy Bayes Theorem Artificial Intelligence Support Vector Machine
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