AIMC Topic: Pattern Recognition, Automated

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Extracting drug-drug interactions from literature using a rich feature-based linear kernel approach.

Journal of biomedical informatics Mar 19, 2015
Identifying unknown drug interactions is of great benefit in the early detection of adverse drug reactions. Despite existence of several resources for drug-drug interaction (DDI) information, the wealth of such information is buried in a body of unst...
Semantics Pattern Recognition, Automated Vocabulary, Controlled Natural Language Processing Periodicals as Topic Drug Interactions Data Mining Support Vector Machine
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Multicomponent signal unmixing from nanoheterostructures: overcoming the traditional challenges of nanoscale X-ray analysis via machine learning.

Nano letters Mar 17, 2015
The chemical composition of core-shell nanoparticle clusters have been determined through principal component analysis (PCA) and independent component analysis (ICA) of an energy-dispersive X-ray (EDX) spectrum image (SI) acquired in a scanning trans...
Imaging, Three-Dimensional Magnetite Nanoparticles Materials Testing Image Interpretation, Computer-Assisted Machine Learning Pattern Recognition, Automated X-Ray Diffraction Microscopy, Electron, Transmission
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USI: a fast and accurate approach for conceptual document annotation.

BMC bioinformatics Mar 14, 2015
BACKGROUND: Semantic approaches such as concept-based information retrieval rely on a corpus in which resources are indexed by concepts belonging to a domain ontology. In order to keep such applications up-to-date, new entities need to be frequently ...
Algorithms User-Computer Interface Natural Language Processing Abstracting and Indexing Medical Subject Headings Information Storage and Retrieval Semantics Pattern Recognition, Automated Humans Vocabulary, Controlled
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Distance Metric Learning Using Privileged Information for Face Verification and Person Re-Identification.

IEEE transactions on neural networks and learning systems Mar 12, 2015
In this paper, we propose a new approach to improve face verification and person re-identification in the RGB images by leveraging a set of RGB-D data, in which we have additional depth images in the training data captured using depth cameras such as...
Biometric Identification Image Processing, Computer-Assisted Face Pattern Recognition, Automated Algorithms Learning Humans Artificial Intelligence
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Language-Model Assisted Brain Computer Interface for Typing: A Comparison of Matrix and Rapid Serial Visual Presentation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 11, 2015
Noninvasive electroencephalography (EEG)-based brain-computer interfaces (BCIs) popularly utilize event-related potential (ERP) for intent detection. Specifically, for EEG-based BCI typing systems, different symbol presentation paradigms have been ut...
Brain-Computer Interfaces Evoked Potentials, Visual Task Performance and Analysis Photic Stimulation Natural Language Processing Electroencephalography Pattern Recognition, Automated Communication Devices for People with Disabilities Word Processing Language Female Reproducibility of Results Male Models, Neurological Adult Sensitivity and Specificity Humans Machine Learning Algorithms
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Traffic speed data imputation method based on tensor completion.

Computational intelligence and neuroscience Mar 3, 2015
Traffic speed data plays a key role in Intelligent Transportation Systems (ITS); however, missing traffic data would affect the performance of ITS as well as Advanced Traveler Information Systems (ATIS). In this paper, we handle this issue by a novel...
Sample Size Artificial Intelligence Signal Processing, Computer-Assisted Algorithms Pattern Recognition, Automated Databases, Factual
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Graph Embedded Extreme Learning Machine.

IEEE transactions on cybernetics Mar 2, 2015
In this paper, we propose a novel extension of the extreme learning machine (ELM) algorithm for single-hidden layer feedforward neural network training that is able to incorporate subspace learning (SL) criteria on the optimization process followed f...
Image Processing, Computer-Assisted Video Recording Face Pattern Recognition, Automated Human Activities Female Male Humans Machine Learning
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Efficient method for analyzing MR real-time cines: Toward accurate quantification of left ventricular function.

Journal of magnetic resonance imaging : JMRI Mar 2, 2015
BACKGROUND: To develop and assess an efficient method to identify end-expiratory end-diastolic (ED) and end-systolic (ES) images for accurate quantification of left ventricular (LV) function in real-time cine imaging.
Adult Humans Pattern Recognition, Automated Algorithms Machine Learning Sensitivity and Specificity Reproducibility of Results Image Enhancement Male Young Adult History, Ancient Ventricular Function, Left Magnetic Resonance Imaging, Cine Computer Systems Image Interpretation, Computer-Assisted Observer Variation
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A small-scale hyperacute compound eye featuring active eye tremor: application to visual stabilization, target tracking, and short-range odometry.

Bioinspiration & biomimetics Feb 25, 2015
In this study, a miniature artificial compound eye (15 mm in diameter) called the curved artificial compound eye (CurvACE) was endowed for the first time with hyperacuity, using similar micro-movements to those occurring in the fly's compound eye. A ...
Robotics Compound Eye, Arthropod Equipment Design Photometry Pattern Recognition, Automated Orientation Models, Biological Equipment Failure Analysis Visual Perception Biomimetics Computer Simulation Animals Computer-Aided Design
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Multi-scale textural feature extraction and particle swarm optimization based model selection for false positive reduction in mammography.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 24, 2015
The high number of false positives and the resulting number of avoidable breast biopsies are the major problems faced by current mammography Computer Aided Detection (CAD) systems. False positive reduction is not only a requirement for mass but also ...
Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated False Positive Reactions Radiographic Image Enhancement Humans Support Vector Machine Algorithms Female Sensitivity and Specificity Models, Statistical Computer Simulation Reproducibility of Results Breast Neoplasms Mammography
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