AIMC Topic: Pattern Recognition, Automated

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Adaptive Shape Kernel-Based Mean Shift Tracker in Robot Vision System.

Computational intelligence and neuroscience Jun 9, 2016
This paper proposes an adaptive shape kernel-based mean shift tracker using a single static camera for the robot vision system. The question that we address in this paper is how to construct such a kernel shape that is adaptive to the object shape. W...
Video Recording Reproducibility of Results Locomotion Sensitivity and Specificity Subtraction Technique Image Interpretation, Computer-Assisted Humans Robotics Pattern Recognition, Automated Artificial Intelligence Algorithms
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Forecast Modelling via Variations in Binary Image-Encoded Information Exploited by Deep Learning Neural Networks.

PloS one Jun 9, 2016
Traditional forecasting models fit a function approximation from dependent invariables to independent variables. However, they usually get into trouble when date are presented in various formats, such as text, voice and image. This study proposes a n...
Models, Theoretical Pattern Recognition, Automated Computer Graphics Neural Networks, Computer Humans Machine Learning Algorithms
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Chinese Herbal Medicine Image Recognition and Retrieval by Convolutional Neural Network.

PloS one Jun 3, 2016
Chinese herbal medicine image recognition and retrieval have great potential of practical applications. Several previous studies have focused on the recognition with hand-crafted image features, but there are two limitations in them. Firstly, most of...
Databases, Factual Drugs, Chinese Herbal Neural Networks, Computer Algorithms Information Storage and Retrieval Pattern Recognition, Automated
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An Application of Self-Organizing Map for Multirobot Multigoal Path Planning with Minmax Objective.

Computational intelligence and neuroscience Jun 2, 2016
In this paper, Self-Organizing Map (SOM) for the Multiple Traveling Salesman Problem (MTSP) with minmax objective is applied to the robotic problem of multigoal path planning in the polygonal domain. The main difficulty of such SOM deployment is dete...
Space Perception Travel Algorithms Robotics Motion Humans Pattern Recognition, Automated Neural Networks, Computer Artificial Intelligence
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Mitigation of Effects of Occlusion on Object Recognition with Deep Neural Networks through Low-Level Image Completion.

Computational intelligence and neuroscience Jun 1, 2016
Heavily occluded objects are more difficult for classification algorithms to identify correctly than unoccluded objects. This effect is rare and thus hard to measure with datasets like ImageNet and PASCAL VOC, however, owing to biases in human-genera...
Datasets as Topic Pattern Recognition, Automated Visual Perception Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Humans
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Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance.

Medical image analysis May 26, 2016
We introduce a new methodology that combines deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance (MR) data. This combination is relevant for segmentation problems, where t...
Pattern Recognition, Automated Magnetic Resonance Imaging, Cine Humans Image Processing, Computer-Assisted Heart Ventricles Machine Learning Reproducibility of Results
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Improved spatial accuracy of functional maps in the rat olfactory bulb using supervised machine learning approach.

NeuroImage May 25, 2016
Functional MRI (fMRI) is a popular and important tool for noninvasive mapping of neural activity. As fMRI measures the hemodynamic response, the resulting activation maps do not perfectly reflect the underlying neural activity. The purpose of this wo...
Smell Image Enhancement Olfactory Bulb Supervised Machine Learning Image Interpretation, Computer-Assisted Pattern Recognition, Automated Electric Stimulation Male Spatio-Temporal Analysis Rats Magnetic Resonance Imaging Rats, Sprague-Dawley Brain Mapping Reproducibility of Results Sensitivity and Specificity Animals Algorithms
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Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI.

IEEE transactions on bio-medical engineering May 12, 2016
OBJECTIVE: To obtain high-quality positron emission tomography (PET) image with low-dose tracer injection, this study attempts to predict the standard-dose PET (S-PET) image from both its low-dose PET (L-PET) counterpart and corresponding magnetic re...
Reproducibility of Results Sensitivity and Specificity Magnetic Resonance Imaging Multimodal Imaging Humans Algorithms Subtraction Technique Radiation Protection Image Enhancement Radiation Dosage Radiation Exposure Supervised Machine Learning Positron-Emission Tomography Pattern Recognition, Automated
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Prediction of brain maturity in infants using machine-learning algorithms.

NeuroImage May 11, 2016
Recent resting-state functional MRI investigations have demonstrated that much of the large-scale functional network architecture supporting motor, sensory and cognitive functions in older pediatric and adult populations is present in term- and prema...
Humans Male Support Vector Machine Prognosis Magnetic Resonance Imaging Female Pattern Recognition, Automated Infant, Newborn Algorithms Infant, Premature Reproducibility of Results Brain Regression Analysis Sensitivity and Specificity Image Enhancement Brain Mapping Gestational Age Image Interpretation, Computer-Assisted
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Regularized Embedded Multiple Kernel Dimensionality Reduction for Mine Signal Processing.

Computational intelligence and neuroscience May 9, 2016
Traditional multiple kernel dimensionality reduction models are generally based on graph embedding and manifold assumption. But such assumption might be invalid for some high-dimensional or sparse data due to the curse of dimensionality, which has a ...
Pattern Recognition, Automated Artificial Intelligence Humans Computer Graphics Algorithms Datasets as Topic
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