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A BAND SELECTION METHOD FOR HIGH PRECISION REGISTRATION OF HYPERSPECTRAL IMAGE
Hyperspectral Image High Spatial Resolution Image Registration CRLB Theory Band Selection Algorithm
2018/5/16
During the registration of hyperspectral images and high spatial resolution images, too much bands in a hyperspectral image make it difficult to select bands with good registration performance. Terrib...
DEVELOPMENT OF IMAGE SELECTION METHOD USING GRAPH CUTS
Image Selection Bundle Adjustment Network Design Graph Cuts 3D Measurement Visualization
2016/11/11
3D models have been widely used by spread of many available free-software. Additionally, enormous images can be easily acquired, and images are utilized for creating the 3D models recently. The creati...
A General Polynomial Selection Method and New Asymptotic Complexities for the Tower Number Field Sieve Algorithm
Discrete Log Tower Number Field Sieve
2016/5/24
In a recent work, Kim and Barbulescu had extended the tower number field sieve algorithm to obtain improved asymptotic complexities in the medium prime case for the discrete logarithm problem on Fpn w...
Tower Number Field Sieve Variant of a Recent Polynomial Selection Method
TNFS Recent Polynomial Selection Method
2016/4/25
At Asiacrypt 2015, Barbulescu et al. performed a thorough analysis of the tower number field sieve (TNFS) variant of the number field sieve algorithm. More recently, Kim and Barbulescu combined the TN...
A NOVEL BAND SELECTION METHOD FOR HYPERSPECTRAL DATA ANALYSIS
Hyperspectral data Band Selection Search Strategy Data Representation
2015/12/31
This paper proposes an innovative band selection (BS) method called prototype space band selection (PSBS) based only on class spectra. The main novelty of the proposed BS lies in band representation i...
A GENETIC ALGORITHM BASED WRAPPER FEATURE SELECTION METHOD FOR CLASSIFICATION OF HYPERSPECTRAL IMAGES USING SUPPORT VECTOR MACHINE
Feature Selection Hyperspectral Genetic Algorithm Supported Vector Machine
2015/12/31
The high-dimensional feature vectors of hyper spectral data often impose a high computational cost as well as the risk of "over fitting" when classification is performed. Therefore it is necessary to ...
An iterative feature selection method for GRNs inference by exploring topological properties
SFS SFFS feature selection reverse-engineering gene networks inference systems biology bioinformatics
2011/10/9
Abstract: An important problem in bioinformatics is the inference of gene regulatory networks (GRN) from temporal expression profiles. In general, the main limitations faced by GRN inference methods i...
Using covariates for improving the minimum redundancy maximum relevance feature selection method
Mutual information mRMR unsupervised learning support vector machines SINBAD covariates
2010/11/22
Maximizing the joint dependency with a minimum size of variables is generally the main task of feature selection. For obtaining a minimal subset, while trying to maximize the joint dependency with the...
Collision Avoidance Sensor System with Beam Width Selection Method
Beam width selection method Safety device Collision avoidance sensor
2009/6/12
A safety area sensor for automatic guided vehicles using a semiconductor laser and a CCD camera has been studied. But this detection system, which depends on the light intensity, has the weak point fo...
A KNOWLEDGE-BASED VARIABLE SELECTION METHOD FOR BOX-COX TRANSFORMATION
Regression analysis Box-Cox transformation variable selection j-th best subset problem variable classification meaningful subset practically best regression equation intellectual statistical system OEPP
2009/3/10
In actual applications of regression analysis, users face two difficult problems. One is to find the most appropriate functional form, while the other is to search for the best subset derivable from a...