AIMC Topic: Pattern Recognition, Automated

Clear Filters Showing 831 to 840 of 1671 articles

Efficient Active Sensing with Categorized Further Explorations for a Home Behavior-Monitoring Robot.

Journal of healthcare engineering Nov 28, 2017
Mobile robotics is a potential solution to home behavior monitoring for the elderly. For a mobile robot in the real world, there are several types of uncertainties for its perceptions, such as the ambiguity between a target object and the surrounding...
Movement Monitoring, Physiologic Models, Statistical Monitoring, Ambulatory Signal Processing, Computer-Assisted Reproducibility of Results Pattern Recognition, Automated Health Behavior Aged Robotics Cluster Analysis Humans Algorithms
View on PubMed DOI

Derivation of simple rules for complex flow vector fields on the lower part of the human face for robot face design.

Bioinspiration & biomimetics Nov 27, 2017
It is quite difficult for android robots to replicate the numerous and various types of human facial expressions owing to limitations in terms of space, mechanisms, and materials. This situation could be improved with greater knowledge regarding thes...
Humans Skin Pattern Recognition, Automated Facial Expression Principal Component Analysis Robotics Image Processing, Computer-Assisted
View on PubMed DOI

Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video.

IEEE transactions on pattern analysis and machine intelligence Nov 22, 2017
Riemannian manifolds have been widely employed for video representations in visual classification tasks including video-based face recognition. The success mainly derives from learning a discriminant Riemannian metric which encodes the non-linear geo...
Face Pattern Recognition, Automated Biometric Identification Algorithms Image Processing, Computer-Assisted Video Recording Humans Machine Learning
View on PubMed DOI

Looking for Alzheimer's Disease morphometric signatures using machine learning techniques.

Journal of neuroscience methods Nov 22, 2017
BACKGROUND: We present our results in the International challenge for automated prediction of MCI from MRI data. We evaluate the performance of MRI-based neuromorphometrics features (nMF) in the classification of Healthy Controls (HC), Mild Cognitive...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Mental Status and Dementia Tests ROC Curve Magnetic Resonance Imaging Alzheimer Disease Male Humans Cognitive Dysfunction Female Brain Aged Machine Learning
View on PubMed DOI

Statistics of Visual Responses to Image Object Stimuli from Primate AIT Neurons to DNN Neurons.

Neural computation Nov 21, 2017
Under the goal-driven paradigm, Yamins et al. ( 2014 ; Yamins & DiCarlo, 2016 ) have shown that by optimizing only the final eight-way categorization performance of a four-layer hierarchical network, not only can its top output layer quantitatively p...
Action Potentials Neurons Pattern Recognition, Automated Image Processing, Computer-Assisted Models, Neurological Visual Perception Macaca mulatta Cerebral Cortex Statistics as Topic Neural Networks, Computer Animals
View on PubMed DOI

Machine Learning in Radiology: Applications Beyond Image Interpretation.

Journal of the American College of Radiology : JACR Nov 17, 2017
Much attention has been given to machine learning and its perceived impact in radiology, particularly in light of recent success with image classification in international competitions. However, machine learning is likely to impact radiology outside ...
Humans Pattern Recognition, Automated Radiology Image Enhancement Machine Learning Workflow Image Interpretation, Computer-Assisted Algorithms
View on PubMed DOI

Support vector machine with Dirichlet feature mapping.

Neural networks : the official journal of the International Neural Network Society Nov 16, 2017
The Support Vector Machine (SVM) is a supervised learning algorithm to analyze data and recognize patterns. The standard SVM suffers from some limitations in nonlinear classification problems. To tackle these limitations, the nonlinear form of the SV...
Support Vector Machine Pattern Recognition, Automated
View on PubMed DOI

Adaptive neuro-heuristic hybrid model for fruit peel defects detection.

Neural networks : the official journal of the International Neural Network Society Nov 15, 2017
Fusion of machine learning methods benefits in decision support systems. A composition of approaches gives a possibility to use the most efficient features composed into one solution. In this article we would like to present an approach to the develo...
Pattern Recognition, Automated Electronic Data Processing Heuristics Fruit Neural Networks, Computer Machine Learning Humans
View on PubMed DOI

A Hybrid Semi-Supervised Anomaly Detection Model for High-Dimensional Data.

Computational intelligence and neuroscience Nov 15, 2017
Anomaly detection, which aims to identify observations that deviate from a nominal sample, is a challenging task for high-dimensional data. Traditional distance-based anomaly detection methods compute the neighborhood distance between each observatio...
Humans Artificial Intelligence Discriminant Analysis Datasets as Topic Pattern Recognition, Automated Algorithms Models, Theoretical
View on PubMed DOI

Foreground Detection by Competitive Learning for Varying Input Distributions.

International journal of neural systems Nov 13, 2017
One of the most important challenges in computer vision applications is the background modeling, especially when the background is dynamic and the input distribution might not be stationary, i.e. the distribution of the input data could change with t...
Humans Neural Networks, Computer Pattern Recognition, Automated Image Processing, Computer-Assisted Unsupervised Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals