AIMC Topic: Pattern Recognition, Automated

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Convex nonnegative matrix factorization with manifold regularization.

Neural networks : the official journal of the International Neural Network Society Dec 4, 2014
Nonnegative Matrix Factorization (NMF) has been extensively applied in many areas, including computer vision, pattern recognition, text mining, and signal processing. However, nonnegative entries are usually required for the data matrix in NMF, which...
Pattern Recognition, Automated Neural Networks, Computer Algorithms Cluster Analysis
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An SSVEP-Based Brain-Computer Interface for Text Spelling With Adaptive Queries That Maximize Information Gain Rates.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Dec 2, 2014
This paper presents a brain-computer interface for text entry using steady-state visually evoked potentials (SSVEP). Like other SSVEP-based spellers, ours identifies the desired input character by posing questions (or queries) to users through a visu...
Word Processing Brain-Computer Interfaces Evoked Potentials, Visual Communication Devices for People with Disabilities Male Adolescent Child Information Storage and Retrieval Pattern Recognition, Automated Natural Language Processing Electroencephalography Reproducibility of Results Young Adult Sensitivity and Specificity Humans Machine Learning Female
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Moving Away From Error-Related Potentials to Achieve Spelling Correction in P300 Spellers.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Nov 25, 2014
P300 spellers can provide a means of communication for individuals with severe neuromuscular limitations. However, its use as an effective communication tool is reliant on high P300 classification accuracies ( > 70%) to account for error revisions. E...
Humans Machine Learning Natural Language Processing Bayes Theorem Pattern Recognition, Automated Brain-Computer Interfaces Algorithms Reproducibility of Results Sensitivity and Specificity Event-Related Potentials, P300 Communication Devices for People with Disabilities Word Processing
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Terrain Classification From Body-Mounted Cameras During Human Locomotion.

IEEE transactions on cybernetics Nov 20, 2014
This paper presents a novel algorithm for terrain type classification based on monocular video captured from the viewpoint of human locomotion. A texture-based algorithm is developed to classify the path ahead into multiple groups that can be used to...
Humans Algorithms Walking Video Recording Pattern Recognition, Automated Image Processing, Computer-Assisted Surface Properties Models, Theoretical Robotics
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Computer-aided diagnosis from weak supervision: a benchmarking study.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Nov 20, 2014
Supervised machine learning is a powerful tool frequently used in computer-aided diagnosis (CAD) applications. The bottleneck of this technique is its demand for fine grained expert annotations, which are tedious for medical image analysis applicatio...
Neoplasms Benchmarking Algorithms Supervised Machine Learning Humans Microscopy Pattern Recognition, Automated Reproducibility of Results Diabetic Retinopathy Image Interpretation, Computer-Assisted Image Enhancement Sensitivity and Specificity
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Selective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarrays.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Nov 12, 2014
Shape based active contours have emerged as a natural solution to overlap resolution. However, most of these shape-based methods are computationally expensive. There are instances in an image where no overlapping objects are present and applying thes...
Oligonucleotide Array Sequence Analysis Subtraction Technique Cell Nucleus Shape Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Humans Machine Learning Male Algorithms Neoplasm Grading Prostatic Neoplasms Reproducibility of Results Microscopy Sensitivity and Specificity
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Transfer learning improves supervised image segmentation across imaging protocols.

IEEE transactions on medical imaging Nov 4, 2014
The variation between images obtained with different scanners or different imaging protocols presents a major challenge in automatic segmentation of biomedical images. This variation especially hampers the application of otherwise successful supervis...
Humans Machine Learning Brain Magnetic Resonance Imaging Multiple Sclerosis Image Processing, Computer-Assisted Support Vector Machine Pattern Recognition, Automated
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Computer-aided diagnosis of mammographic masses using scalable image retrieval.

IEEE transactions on bio-medical engineering Oct 28, 2014
Computer-aided diagnosis of masses in mammograms is important to the prevention of breast cancer. Many approaches tackle this problem through content-based image retrieval techniques. However, most of them fall short of scalability in the retrieval s...
Breast Neoplasms Calcinosis Mammography Radiographic Image Interpretation, Computer-Assisted Female Pattern Recognition, Automated Humans Image Enhancement Reproducibility of Results Artificial Intelligence Sensitivity and Specificity Algorithms
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Learning Stable Multilevel Dictionaries for Sparse Representations.

IEEE transactions on neural networks and learning systems Oct 16, 2014
Sparse representations using learned dictionaries are being increasingly used with success in several data processing and machine learning applications. The increasing need for learning sparse models in large-scale applications motivates the developm...
Computer Simulation Learning Cluster Analysis Pattern Recognition, Automated Humans Neural Networks, Computer Algorithms
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Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected Converter.

IEEE transactions on neural networks and learning systems Oct 15, 2014
This paper investigates how to train a recurrent neural network (RNN) using the Levenberg-Marquardt (LM) algorithm as well as how to implement optimal control of a grid-connected converter (GCC) using an RNN. To successfully and efficiently train an ...
Pattern Recognition, Automated Learning Computer Systems Time Factors Neural Networks, Computer Humans Algorithms
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