AIMC Topic: Classification

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Deep neural networks for texture classification-A theoretical analysis.

Neural networks : the official journal of the International Neural Network Society Oct 23, 2017
We investigate the use of Deep Neural Networks for the classification of image datasets where texture features are important for generating class-conditional discriminative representations. To this end, we first derive the size of the feature space f...
Neural Networks, Computer Algorithms Pattern Recognition, Automated Classification Likelihood Functions Databases, Factual Image Processing, Computer-Assisted
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Taxonomy-Based Approaches to Quality Assurance of Ontologies.

Journal of healthcare engineering Oct 11, 2017
Ontologies are important components of health information management systems. As such, the quality of their content is of paramount importance. It has been proven to be practical to develop quality assurance (QA) methodologies based on automated iden...
Humans Biological Ontologies Quality Assurance, Health Care Classification
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Discriminative clustering on manifold for adaptive transductive classification.

Neural networks : the official journal of the International Neural Network Society Aug 1, 2017
In this paper, we mainly propose a novel adaptive transductive label propagation approach by joint discriminative clustering on manifolds for representing and classifying high-dimensional data. Our framework seamlessly combines the unsupervised manif...
Cluster Analysis Classification Neural Networks, Computer Machine Learning
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Efficient construction of sparse radial basis function neural networks using L-regularization.

Neural networks : the official journal of the International Neural Network Society Jul 27, 2017
This paper investigates the construction of sparse radial basis function neural networks (RBFNNs) for classification problems. An efficient two-phase construction algorithm (which is abbreviated as TPCLR for simplicity) is proposed by using L regular...
Machine Learning Classification Neural Networks, Computer
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Using multiclass classification to automate the identification of patient safety incident reports by type and severity.

BMC medical informatics and decision making Jun 12, 2017
BACKGROUND: Approximately 10% of admissions to acute-care hospitals are associated with an adverse event. Analysis of incident reports helps to understand how and why incidents occur and can inform policy and practice for safer care. Unfortunately ou...
Support Vector Machine Risk Management Humans Patient Safety Classification Data Mining Medical Informatics
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Deep Learning for Plant Identification in Natural Environment.

Computational intelligence and neuroscience May 22, 2017
Plant image identification has become an interdisciplinary focus in both botanical taxonomy and computer vision. The first plant image dataset collected by mobile phone in natural scene is presented, which contains 10,000 images of 100 ornamental pla...
Photography Environment Machine Learning Datasets as Topic China Forestry Universities Classification Cell Phone Plants
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A machine learning approach for viral genome classification.

BMC bioinformatics Apr 11, 2017
BACKGROUND: Advances in cloning and sequencing technology are yielding a massive number of viral genomes. The classification and annotation of these genomes constitute important assets in the discovery of genomic variability, taxonomic characteristic...
Classification Papillomaviridae HIV-1 Genome, Viral Hepatitis B virus Genomics Sequence Analysis, RNA Sequence Analysis, DNA Machine Learning Computer Simulation Humans
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Relevance popularity: A term event model based feature selection scheme for text classification.

PloS one Apr 5, 2017
Feature selection is a practical approach for improving the performance of text classification methods by optimizing the feature subsets input to classifiers. In traditional feature selection methods such as information gain and chi-square, the numbe...
Bayes Theorem Classification Language Support Vector Machine Models, Theoretical Natural Language Processing
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Mexican Hat Wavelet Kernel ELM for Multiclass Classification.

Computational intelligence and neuroscience Feb 21, 2017
Kernel extreme learning machine (KELM) is a novel feedforward neural network, which is widely used in classification problems. To some extent, it solves the existing problems of the invalid nodes and the large computational complexity in ELM. However...
Humans Neural Networks, Computer Machine Learning Algorithms Classification
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A Novel Graph Constructor for Semisupervised Discriminant Analysis: Combined Low-Rank and -Nearest Neighbor Graph.

Computational intelligence and neuroscience Feb 20, 2017
Semisupervised Discriminant Analysis (SDA) is a semisupervised dimensionality reduction algorithm, which can easily resolve the out-of-sample problem. Relative works usually focus on the geometric relationships of data points, which are not obvious, ...
Classification Discriminant Analysis Supervised Machine Learning Algorithms Face Humans Databases, Factual Pattern Recognition, Automated
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