搜索结果: 1-15 共查到“Feature selection”相关记录38条 . 查询时间(0.12 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：How to capture tourists' search behavior in tourism forecasts？A two-stage feature selection approach
旅游预测 游客 搜索行为 两阶段 特征选择方法
2023/5/16
Search engine data have been widely used and shown to be useful in tourism demand forecasting. However, considering of the vast amounts of search keywords, how to better capture the tourists' attentio...
On the Relevance of Feature Selection for Profiled Side-channel Attacks
Profiled side-channel attacks feature selection machine learning
2017/11/21
In the process of profiled side-channel analysis there is a number of steps one needs to make. One important step that is often conducted without a proper attention is selection of the points of inter...
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 ...
COMPARISON OF FEATURE SELECTION TECHNIQUES FOR SVM CLASSIFICATION
Support Vector Machines Feature Selection Exhaustive Search
2015/9/8
The use of satellite imagery in the derivation of land cover information has yielded immense dividends to numerous application fields
such as environmental monitoring and modeling, map making and rev...
Higher Criticism Thresholding: Optimal Feature Selection when Useful Features are Rare and Weak
Criticism Thresholding Feature Selection
2015/8/21
Linear classi cation analysis is a fundamental tool for science
and technology. In important application elds today { genomics and proteomics are examples { one automatically obtains very high-dimen...
“PRECONDITIONING” FOR FEATURE SELECTION AND REGRESSION IN HIGH-DIMENSIONAL PROBLEMS
Model selection prediction error lasso
2015/8/21
We consider regression problems where the number of predictors greatly exceeds the number of observations. We propose a method for variable selection that first estimates the regression function, yiel...
INNOVATIVE FEATURE SELECTION USED IN MULTISPECTRAL IMAGERY CLASSIFICATION FOR WATER QUALITY MONITORING
Remote Sensing ASTER Feature Selection Classifi cation Algorithms Land cover
2015/7/30
For the purposes of our study, an ASTER satellite image was used, acquired on 5 October, 2001, with
14 spectral bands resampled at the spatial resolution of 15 m. The study area concerns the geograph...
FEATURE SELECTION BY USING CLASSIFICATION AND REGRESSION TREES (CART)
Hyper-spectral Classification Feature Extraction Remote Sensing Pattern Recognition Agriculture
2015/7/29
Hyper-spectral remote sensing increases the volume of information available for research and practice, but brings with it the need for
efficient statistical methods in sample spaces of many dimensio...
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...
Feature Selection for a Rich HPSG Grammar Using Decision Trees
Feature Selection Rich HPSG Grammar Decision Trees
2015/6/12
This paper examines feature selection for log linear models over rich constraint-based grammar (HPSG) representations by building decision trees over features in corresponding probabilistic context fr...
VESSEL CLASSIFICATION IN COSMO-SKYMED SAR DATA USING HIERARCHICAL FEATURE SELECTION
Ship classification COSMO-SkyMed data
2015/5/7
SAR based ship detection and classification are important elements of maritime monitoring applications. Recently, high-resolution SAR data have opened new possibilities to researchers for achieving ...
Feature Selection Based on Term Frequency and T-Test for Text Categorization
feature selection term frequency t-test text classification
2013/6/14
Much work has been done on feature selection. Existing methods are based on document frequency, such as Chi-Square Statistic, Information Gain etc. However, these methods have two shortcomings: one is...
Greedy Feature Selection for Subspace Clustering
Subspace clustering unions of subspaces hybrid linear models sparse ap-proximation structured sparsity nearest neighbors low-rank approximation
2013/5/2
Unions of subspaces are powerful nonlinear signal models for collections of high-dimensional data. However, existing methods that exploit this structure require that the subspaces the signals of inter...
$l_{2,p}$ Matrix Norm and Its Application in Feature Selection
$l_{2,p}$ Matrix Norm Its Application Feature Selection
2013/5/2
Recently, $l_{2,1}$ matrix norm has been widely applied to many areas such as computer vision, pattern recognition, biological study and etc. As an extension of $l_1$ vector norm, the mixed $l_{2,1}$ ...
RANDOM FORESTS-BASED FEATURE SELECTION FOR LAND-USE CLASSIFICATION USING LIDAR DATA AND ORTHOIMAGERY
Lidar imagery Random Forests Classification Feature selection
2014/4/29
The development of lidar system, especially incorporated with high-resolution camera components, has shown great potential for urban classification. However, how to automatically select the best featu...