AIMC Topic: Datasets as Topic

Clear Filters Showing 811 to 820 of 1098 articles

Machine learning for medical images analysis.

Medical image analysis Jun 22, 2016
This article discusses the application of machine learning for the analysis of medical images. Specifically: (i) We show how a special type of learning models can be thought of as automatically optimized, hierarchically-structured, rule-based algorit...
Machine Learning Decision Trees Diagnostic Imaging Datasets as Topic Humans
View on PubMed DOI

Mitigation of Effects of Occlusion on Object Recognition with Deep Neural Networks through Low-Level Image Completion.

Computational intelligence and neuroscience Jun 1, 2016
Heavily occluded objects are more difficult for classification algorithms to identify correctly than unoccluded objects. This effect is rare and thus hard to measure with datasets like ImageNet and PASCAL VOC, however, owing to biases in human-genera...
Visual Perception Image Processing, Computer-Assisted Humans Datasets as Topic Neural Networks, Computer Pattern Recognition, Automated Algorithms
View on PubMed DOI

Regularized Embedded Multiple Kernel Dimensionality Reduction for Mine Signal Processing.

Computational intelligence and neuroscience May 9, 2016
Traditional multiple kernel dimensionality reduction models are generally based on graph embedding and manifold assumption. But such assumption might be invalid for some high-dimensional or sparse data due to the curse of dimensionality, which has a ...
Humans Artificial Intelligence Algorithms Datasets as Topic Pattern Recognition, Automated Computer Graphics
View on PubMed DOI

Network-based classification of ADHD patients using discriminative subnetwork selection and graph kernel PCA.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 23, 2016
BACKGROUND: Attention Deficit Hyperactivity Disorder (ADHD) is one of the most prevalent behavioral disorders in childhood and adolescence. Recently, network-based diagnosis of ADHD has attracted great attentions due to the fact that ADHD disease is ...
Support Vector Machine Principal Component Analysis Datasets as Topic Pattern Recognition, Automated Attention Deficit Disorder with Hyperactivity Male Case-Control Studies Child Brain Female Humans Sensitivity and Specificity
View on PubMed DOI

Hybrid EANN-EA System for the Primary Estimation of Cardiometabolic Risk.

Journal of medical systems Apr 22, 2016
The most important part of the early prevention of atherosclerosis and cardiovascular diseases is the estimation of the cardiometabolic risk (CMR). The CMR estimation can be divided into two phases. The first phase is called primary estimation of CMR...
Adult Cardiovascular Diseases Middle Aged Algorithms Aged Young Adult Risk Assessment Adolescent Datasets as Topic Humans Neural Networks, Computer
View on PubMed DOI

Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans.

Scientific reports Apr 15, 2016
This paper performs a comprehensive study on the deep-learning-based computer-aided diagnosis (CADx) for the differential diagnosis of benign and malignant nodules/lesions by avoiding the potential errors caused by inaccurate image processing results...
Humans Machine Learning Algorithms Tomography, X-Ray Computed Datasets as Topic Ultrasonography Solitary Pulmonary Nodule Breast Female Reproducibility of Results Diagnosis, Computer-Assisted
View on PubMed DOI

Demixed principal component analysis of neural population data.

eLife Apr 12, 2016
Neurons in higher cortical areas, such as the prefrontal cortex, are often tuned to a variety of sensory and motor variables, and are therefore said to display mixed selectivity. This complexity of single neuron responses can obscure what information...
Animals Olfactory Perception Prefrontal Cortex Multifactor Dimensionality Reduction Principal Component Analysis Rats Memory, Short-Term Macaca mulatta Reward Sensory Receptor Cells Decision Making Spatial Navigation Datasets as Topic Motor Neurons Task Performance and Analysis
View on PubMed DOI

Sparse Bayesian Learning for Obtaining Sparsity of EEG Frequency Bands Based Feature Vectors in Motor Imagery Classification.

International journal of neural systems Apr 11, 2016
Effective common spatial pattern (CSP) feature extraction for motor imagery (MI) electroencephalogram (EEG) recordings usually depends on the filter band selection to a large extent. Subband optimization has been suggested to enhance classification a...
Electroencephalography Datasets as Topic Linear Models Imagination Brain Bayes Theorem Humans Time Factors Brain-Computer Interfaces Discriminant Analysis Machine Learning Motor Activity Algorithms
View on PubMed DOI

Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease.

International journal of neural systems Apr 4, 2016
Computer Aided Diagnosis (CAD) constitutes an important tool for the early diagnosis of Alzheimer's Disease (AD), which, in turn, allows the application of treatments that can be simpler and more likely to be effective. This paper explores the constr...
Alzheimer Disease Positron-Emission Tomography Image Interpretation, Computer-Assisted Pattern Recognition, Automated Gray Matter Datasets as Topic Early Diagnosis Brain Imaging, Three-Dimensional Female Unsupervised Machine Learning Humans Aged Area Under Curve Male Disease Progression Cognitive Dysfunction ROC Curve
View on PubMed DOI

A new Growing Neural Gas for clustering data streams.

Neural networks : the official journal of the International Neural Network Society Feb 26, 2016
Clustering data streams is becoming the most efficient way to cluster a massive dataset. This task requires a process capable of partitioning observations continuously with restrictions of memory and time. In this paper we present a new algorithm, ca...
Databases, Factual Cluster Analysis Datasets as Topic Statistics as Topic Humans Memory Neural Networks, Computer Algorithms
View on PubMed DOI
Popular Topics
Recent Journals