AIMC Topic: Pattern Recognition, Automated

Clear Filters Showing 711 to 720 of 1671 articles

Low-rank and sparse embedding for dimensionality reduction.

Neural networks : the official journal of the International Neural Network Society Aug 18, 2018
In this paper, we propose a robust subspace learning (SL) framework for dimensionality reduction which further extends the existing SL methods to a low-rank and sparse embedding (LRSE) framework from three aspects: overall optimum, robustness and gen...
Machine Learning Algorithms Databases, Factual Humans Artificial Intelligence Pattern Recognition, Automated Photic Stimulation
View on PubMed DOI

Automated dendritic spine detection using convolutional neural networks on maximum intensity projected microscopic volumes.

Journal of neuroscience methods Aug 18, 2018
BACKGROUND: Dendritic spines are structural correlates of excitatory synapses in the brain. Their density and structure are shaped by experience, pointing to their role in memory encoding. Dendritic spine imaging, followed by manual analysis, is a pr...
Animals Male Imaging, Three-Dimensional Neural Networks, Computer Pattern Recognition, Automated Dendritic Spines Mice Microscopy, Confocal
View on PubMed DOI

Slow wave detection in sleeping mice: Comparison of traditional and machine learning methods.

Journal of neuroscience methods Aug 17, 2018
BACKGROUND: During slow-wave sleep the electroencephalographic (EEG) and local field potential (LFP) recordings reveal the presence of large amplitude slow waves. Systematic extraction of individual slow waves is not trivial.
Sleep, Slow-Wave Neural Networks, Computer Animals Pattern Recognition, Automated Mice Humans Brain Waves Electrocorticography
View on PubMed DOI

High-Frequency Oscillations in the Scalp Electroencephalogram: Mission Impossible without Computational Intelligence.

Computational intelligence and neuroscience Aug 7, 2018
High-frequency oscillations (HFOs) in the electroencephalogram (EEG) are thought to be a promising marker for epileptogenicity. A number of automated detection algorithms have been developed for reliable analysis of invasively recorded HFOs. However,...
Brain Humans Diagnosis, Computer-Assisted Artificial Intelligence Electroencephalography Epilepsy Pattern Recognition, Automated Scalp Periodicity
View on PubMed DOI

Cross-Generation Kinship Verification with Sparse Discriminative Metric.

IEEE transactions on pattern analysis and machine intelligence Aug 1, 2018
Kinship verification is a very important technique in many real-world applications, e.g., personal album organization, missing person investigation and forensic analysis. However, it is extremely difficult to verify a family pair with generation gap,...
Neural Networks, Computer Algorithms Female Biometric Identification Humans Family Pedigree Male Face Pattern Recognition, Automated
View on PubMed DOI

Neural multi-atlas label fusion: Application to cardiac MR images.

Medical image analysis Jul 31, 2018
Multi-atlas segmentation approach is one of the most widely-used image segmentation techniques in biomedical applications. There are two major challenges in this category of methods, i.e., atlas selection and label fusion. In this paper, we propose a...
Magnetic Resonance Imaging Anatomic Landmarks Heart Ventricles Neural Networks, Computer Algorithms Image Interpretation, Computer-Assisted Humans Pattern Recognition, Automated Image Enhancement
View on PubMed DOI

RETRACTED: Diagnosis labeling with disease-specific characteristics mining.

Artificial intelligence in medicine Jul 31, 2018
This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been retracted at the request of the authors; serious errors had been introd...
Data Mining Humans Pattern Recognition, Automated Electronic Health Records Databases, Factual Cluster Analysis Diagnosis, Computer-Assisted Intensive Care Units Predictive Value of Tests Support Vector Machine
View on PubMed DOI

A CNN-SVM combined model for pattern recognition of knee motion using mechanomyography signals.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology Jul 26, 2018
The commonly used classifiers for pattern recognition of human motion, like backpropagation neural network (BPNN) and support vector machine (SVM), usually implement the classification by extracting some hand-crafted features from the human biologica...
Motion Pattern Recognition, Automated Muscle, Skeletal Humans Knee Knee Joint Neural Networks, Computer Support Vector Machine
View on PubMed DOI

Improved multi-view privileged support vector machine.

Neural networks : the official journal of the International Neural Network Society Jul 23, 2018
Multi-view learning (MVL) concentrates on the problem of learning from the data represented by multiple distinct feature sets. The consensus and complementarity principles play key roles in multi-view modeling. By exploiting the consensus principle o...
Support Vector Machine Pattern Recognition, Automated Photic Stimulation Humans
View on PubMed DOI

Delta activity encodes taste information in the human brain.

NeuroImage Jul 20, 2018
The categorization of food via sensing nutrients or toxins is crucial to the survival of any organism. On ingestion, rapid responses within the gustatory system are required to identify the oral stimulus to guide immediate behavior (swallowing or exp...
Pattern Recognition, Automated Cerebral Cortex Taste Perception Discrimination, Psychological Delta Rhythm Time Factors Support Vector Machine Electroencephalography Adult Male Humans Female Young Adult
View on PubMed DOI
Popular Topics
Recent Journals