AIMC Topic: Pattern Recognition, Automated

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Artificial Intelligence: Threat or Boon to Radiologists?

Journal of the American College of Radiology : JACR Aug 19, 2017
The development and integration of machine learning/artificial intelligence into routine clinical practice will significantly alter the current practice of radiology. Changes in reimbursement and practice patterns will also continue to affect radiolo...
Image Enhancement Reimbursement Mechanisms Image Interpretation, Computer-Assisted Pattern Recognition, Automated Practice Patterns, Physicians' Clinical Competence Personal Satisfaction Radiologists Humans Artificial Intelligence Efficiency
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A brain-based account of "basic-level" concepts.

NeuroImage Aug 19, 2017
This study provides a brain-based account of how object concepts at an intermediate (basic) level of specificity are represented, offering an enriched view of what it means for a concept to be a basic-level concept, a research topic pioneered by Rosc...
Semantics Humans Pattern Recognition, Automated Machine Learning Cerebral Cortex Language Female Sensorimotor Cortex Image Processing, Computer-Assisted Young Adult Concept Formation Magnetic Resonance Imaging Adult Imagination Male Brain Mapping
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Multi-Connection Pattern Analysis: Decoding the representational content of neural communication.

NeuroImage Aug 13, 2017
The lack of multivariate methods for decoding the representational content of interregional neural communication has left it difficult to know what information is represented in distributed brain circuit interactions. Here we present Multi-Connection...
Brain Mapping Pattern Recognition, Automated Neural Pathways Nerve Net Computer Simulation Humans Magnetic Resonance Imaging Models, Neurological Machine Learning Algorithms Brain
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Faceness-Net: Face Detection through Deep Facial Part Responses.

IEEE transactions on pattern analysis and machine intelligence Aug 11, 2017
We propose a deep convolutional neural network (CNN) for face detection leveraging on facial attributes based supervision. We observe a phenomenon that part detectors emerge within CNN trained to classify attributes from uncropped face images, withou...
Supervised Machine Learning Face Pattern Recognition, Automated Artificial Intelligence Databases, Factual Deep Learning Humans Neural Networks, Computer
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Non-proliferative diabetic retinopathy symptoms detection and classification using neural network.

Journal of medical engineering & technology Aug 8, 2017
Diabetic retinopathy (DR) causes blindness in the working age for people with diabetes in most countries. The increasing number of people with diabetes worldwide suggests that DR will continue to be major contributors to vision loss. Early detection ...
Humans Fluorescein Angiography Symptom Assessment Male Diabetic Retinopathy Reproducibility of Results Decision Support Systems, Clinical Middle Aged Neural Networks, Computer Aged Image Interpretation, Computer-Assisted Disease Progression Female Sensitivity and Specificity Pattern Recognition, Automated
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Matrix and Tensor Completion on a Human Activity Recognition Framework.

IEEE journal of biomedical and health informatics Aug 7, 2017
Sensor-based activity recognition is encountered in innumerable applications of the arena of pervasive healthcare and plays a crucial role in biomedical research. Nonetheless, the frequent situation of unobserved measurements impairs the ability of m...
Supervised Machine Learning Pattern Recognition, Automated Human Activities Humans Algorithms Remote Sensing Technology
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Developmental Approach for Behavior Learning Using Primitive Motion Skills.

International journal of neural systems Aug 6, 2017
Imitation learning through self-exploration is essential in developing sensorimotor skills. Most developmental theories emphasize that social interactions, especially understanding of observed actions, could be first achieved through imitation, yet t...
Markov Chains Pattern Recognition, Automated Humans Posture Motor Skills Visual Perception Computer Simulation Robotics Artificial Intelligence Exploratory Behavior Learning Models, Biological Imitative Behavior Biomechanical Phenomena
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Two-Stream Transformer Networks for Video-Based Face Alignment.

IEEE transactions on pattern analysis and machine intelligence Aug 1, 2017
In this paper, we propose a two-stream transformer networks (TSTN) approach for video-based face alignment. Unlike conventional image-based face alignment approaches which cannot explicitly model the temporal dependency in videos and motivated by the...
Neural Networks, Computer Databases, Factual Deep Learning Humans Face Image Processing, Computer-Assisted Facial Expression Pattern Recognition, Automated Biometric Identification Regression Analysis Video Recording
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Efficient dynamic graph construction for inductive semi-supervised learning.

Neural networks : the official journal of the International Neural Network Society Jul 24, 2017
Most of graph construction techniques assume a transductive setting in which the whole data collection is available at construction time. Addressing graph construction for inductive setting, in which data are coming sequentially, has received much le...
Pattern Recognition, Automated Databases, Factual Least-Squares Analysis Supervised Machine Learning
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Few-shot learning in deep networks through global prototyping.

Neural networks : the official journal of the International Neural Network Society Jul 24, 2017
Training a deep convolution neural network (CNN) to succeed in visual object classification usually requires a great number of examples. Here, starting from such a pre-learned CNN, we study the task of extending the network to classify additional cat...
Neural Networks, Computer Pattern Recognition, Automated Machine Learning
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