AIMC Topic: Pattern Recognition, Automated

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Adaptive semi-supervised recursive tree partitioning: The ART towards large scale patient indexing in personalized healthcare.

Journal of biomedical informatics Feb 3, 2015
With the rapid development of information technologies, tremendous amount of data became readily available in various application domains. This big data era presents challenges to many conventional data analytics research directions including data ca...
Humans Algorithms Precision Medicine Supervised Machine Learning Pattern Recognition, Automated Patients Diagnosis, Computer-Assisted Decision Support Systems, Clinical Patient-Centered Care
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A novel multiple instance learning method based on extreme learning machine.

Computational intelligence and neuroscience Feb 3, 2015
Since real-world data sets usually contain large instances, it is meaningful to develop efficient and effective multiple instance learning (MIL) algorithm. As a learning paradigm, MIL is different from traditional supervised learning that handles the...
Pattern Recognition, Automated Neural Networks, Computer Models, Theoretical Image Interpretation, Computer-Assisted Artificial Intelligence Algorithms
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Spatiotemporal System Identification With Continuous Spatial Maps and Sparse Estimation.

IEEE transactions on neural networks and learning systems Jan 30, 2015
We present a framework for the identification of spatiotemporal linear dynamical systems. We use a state-space model representation that has the following attributes: 1) the number of spatial observation locations are decoupled from the model order; ...
Nonlinear Dynamics Pattern Recognition, Automated Computer Simulation Time Factors Models, Theoretical Neural Networks, Computer Algorithms Humans
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Solving nonlinear equality constrained multiobjective optimization problems using neural networks.

IEEE transactions on neural networks and learning systems Jan 30, 2015
This paper develops a neural network architecture and a new processing method for solving in real time, the nonlinear equality constrained multiobjective optimization problem (NECMOP), where several nonlinear objective functions must be optimized in ...
Problem Solving Nonlinear Dynamics Pattern Recognition, Automated Humans Neural Networks, Computer Algorithms Computer Simulation
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Structured patch model for a unified automatic and interactive segmentation framework.

Medical image analysis Jan 29, 2015
We present a novel interactive segmentation framework incorporating a priori knowledge learned from training data. The knowledge is learned as a structured patch model (StPM) comprising sets of corresponding local patch priors and their pairwise spat...
Computer Simulation Reproducibility of Results Sensitivity and Specificity Models, Statistical Models, Biological Image Interpretation, Computer-Assisted Machine Learning Subtraction Technique Pattern Recognition, Automated Algorithms Image Enhancement
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Feedback error learning control of magnetic satellites using type-2 fuzzy neural networks with elliptic membership functions.

IEEE transactions on cybernetics Jan 29, 2015
A novel type-2 fuzzy membership function (MF) in the form of an ellipse has recently been proposed in literature, the parameters of which that represent uncertainties are de-coupled from its parameters that determine the center and the support. This ...
Feedback Neural Networks, Computer Fuzzy Logic Pattern Recognition, Automated Machine Learning Spacecraft Magnetics
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Automatic epileptic seizure detection using scalp EEG and advanced artificial intelligence techniques.

BioMed research international Jan 29, 2015
The epilepsies are a heterogeneous group of neurological disorders and syndromes characterised by recurrent, involuntary, paroxysmal seizure activity, which is often associated with a clinicoelectrical correlate on the electroencephalogram. The diagn...
Child Electroencephalography Epilepsy Young Adult Adolescent Algorithms Adult Child, Preschool Sensitivity and Specificity Male Signal Processing, Computer-Assisted Female Humans Infant Reproducibility of Results Pattern Recognition, Automated Machine Learning Diagnosis, Computer-Assisted Scalp
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A novel tracking algorithm via feature points matching.

PloS one Jan 24, 2015
Visual target tracking is a primary task in many computer vision applications and has been widely studied in recent years. Among all the tracking methods, the mean shift algorithm has attracted extraordinary interest and been well developed in the pa...
Artificial Intelligence Color Algorithms Pattern Recognition, Automated Models, Theoretical
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Scene recognition by manifold regularized deep learning architecture.

IEEE transactions on neural networks and learning systems Jan 22, 2015
Scene recognition is an important problem in the field of computer vision, because it helps to narrow the gap between the computer and the human beings on scene understanding. Semantic modeling is a popular technique used to fill the semantic gap in ...
Humans Neural Networks, Computer Photic Stimulation Pattern Recognition, Visual Algorithms Learning Pattern Recognition, Automated
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Automatic face naming by learning discriminative affinity matrices from weakly labeled images.

IEEE transactions on neural networks and learning systems Jan 21, 2015
Given a collection of images, where each image contains several faces and is associated with a few names in the corresponding caption, the goal of face naming is to infer the correct name for each face. In this paper, we propose two new methods to ef...
Biometric Identification Pattern Recognition, Visual Names Artificial Intelligence Algorithms Learning Humans Information Storage and Retrieval Face Pattern Recognition, Automated
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