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Hopfield Networks in Relevance and Redundancy Feature Selection Applied to Classification of Biomedical High-Resolution Micro-CT Images
feature selection image features pattern classification
2015/7/28
We study filter–based feature selection methods for classification of biomedical images. For feature selection, we use two filters — a relevance filter which measures usefulness of individual features...
Extraction of Peak Feature Based on Synthetic Sinc Model in SAR images
SAR Image Peak Feature Point Scatters Gaussian Mask Synthetic Sinc Model Fluctuations Analyze
2015/7/27
Peak is an important feature in Synthetic Aperture Radar(SAR), which represents essence of scattering centre. There are two general approaches in the literature to extract peak. One way is to extract ...
Built-up Areas Extraction in High Resolution SAR Imagery based on the method of Multiple Feature Weighted Fusion
Airborne synthetic aperture radar Built-up areas Feature weighted fusion Gray symbiotic matrix Variogram
2015/7/27
Synthetic aperture radar in the application of remote sensing technology is becoming more and more widely because of its all-time and all-weather operation, feature extraction research in high resolut...
Multipolarimetric SAR image change detection based on multiscale feature-level fusion
Multipolarimetric SAR Change Detection NSCT Fusion
2015/7/27
Many methodologies of change detection have been discussed in the literature, but most of them are tested on only optical images or traditional synthetic-aperture radar (SAR) images. Few studies have ...
Using Feature Weights to Improve Performance of Neural Networks
Feature weight Feature ranking Hybrid Learning Correlation Constraint learning
2015/7/21
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant features using feature ...
Feature Extraction and Modeling of Urban Building From Vehicle-borne Laser Scanning Data
Laser Scanning Algorithms Feature
2015/7/15
Laser scanning is playing an important role in an acquisition of the 3D spatial objects in urban because of real-time and high
efficiency than traditional methods. The research presented in this pape...
An Extension of Slow Feature Analysis for Nonlinear Blind Source Separation
slow feature analysis nonlinear blind source separation independent component analysis
2015/7/15
We present and test an extension of slow feature analysis as a novel approach to nonlinear blind source separation. The algorithm relies on temporal correlations and iteratively reconstructs a set of ...
Empirical learning aided by weak domain knowledge in the form of feature importance
neural network domain knowledge prior knowledge feature importance
2015/7/15
Standard hybrid learners that use domain knowledge require stronger knowledge that is hard and expensive to acquire. However, weaker domain knowledge can benefit from prior knowledge while being cost ...
Development of Digital Surface Model and Feature Extraction By Integrating Laser Scanner and Ccd Sensor With Imu
Laser Scanning CCD IMU
2015/7/15
Three dimension data are in great demand for the various applications such as 3D GIS, navigation, digital archive, simulation,
computer games, and so on. In order to represent space in details, it is...
How to Solve Classification and Regression Problems on High-Dimensional Data with a Supervised Extension of Slow Feature Analysis
Slow feature analysis feature extraction classifi cation regression pattern recognition training graphs nonlinear dimensionality reduction supervised learning high-dimensional data implicitly supervised image analysis
2015/7/10
Supervised learning from high-dimensional data, e.g., multimedia data, is a challenging task. We propose an extension of slow feature analysis (SFA) for supervised dimensionality reduction called grap...
Texture Feature Extraction for Classification of Remote Sensing Data Using Wavelet Decomposition: A Comparative Study
Texture classification multiresolution analysis wavelets
2015/7/9
The extraction of texture features from high resolution remote sensing imagery provides a complementary source of data for those
applications in which the spectral information is not sufficient for i...
Image Processing and Gis Tools for Feature and Change Extraction
Mapping Acquisition Extraction
2015/7/7
Currently the Centre for Topographic Information, Geomatics Canada, NRCan is involved in issue-based programs, such as the
Geomatics for Northern Development and the Reducing Canada’s Vulnerability t...
Web Service Based Web Feature Service
Web Feature Service, Web Service, Spatial data sharing and interoperability
2015/7/6
The spatial information interoperability method based on web (xml) standards is the best method to implement spatial information
sharing and interoperability through the Internet at present time. Web...
Combined Feature-Driven Richardson-Based Adaptive Mesh Refinement for Unsteady Vortical Flows
Combined Feature-Driven Richardson-Based Adaptive Mesh Unsteady Vortical Flows
2015/7/3
An adaptive mesh refinement strategy that couples feature detection with local error estimation is presented. The strategyfirst selects vortical regions for refinement using feature ...
Feature-Driven Cartesian Adaptive Mesh Refinement in the Helios Code
Feature-Driven Cartesian Adaptive Mesh Refinement Helios Code
2015/7/3
Feature-detection methods are applied to drive Cartesian-based adaptive mesh re nement for improved vortex resolution in aerodynamics ow elds. Several approaches such as the Q-criterion, the eigenvalu...