搜索结果: 1-15 共查到“工学 FEATURE SELECTION”相关记录17条 . 查询时间(0.14 秒)
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...
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...
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...
Feature selection from high resolution remote sensing data for biotope mapping
Feature selection/extraction texture biotope/habitat mapping
2014/6/5
Mapping of Landscape Protection Areas with regard to user requirements for detailed land cover and biotope classes has been limited
by the spatial and temporal resolution of Earth observation data. ...
Optimal feature selection for 3D facial expression recognition using coarse-to-fine classification
3D facial expression recognition Fisher criterion-based approach using within group classification
2010/11/22
Automatic facial expression recognition for novel individuals from 3D face data is a challenging task in pattern analysis. This paper describes a feature selection process for pose-invariant 3D facial...
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...
FEATURE SELECTION METHODS FOR OBJECT-BASED CLASSIFICATION OF SUB-DECIMETER RESOLUTION DIGITAL AERIAL IMAGERY
object-based image analysis (OBIA) feature selection high resolution aerial photography vegetation classification accuracy
2014/6/12
The availability of numerous spectral, spatial, and contextual features renders the selection of optimal features a time consuming and subjective process in object-based image analysis (OBIA). While ...
基于改进遗传算法的棉花异性纤维目标特征选择（Feature Selection for Cotton Foreign Fiber Objects Based on Improved Genetic Algorithm）
棉花 异性纤维 特征选择 改进遗传算法
2010/5/5
为提高基于机器视觉的棉花异性纤维在线分类的精度和速度，提出了一种基于改进遗传算法的特征选择方法。采用分段式染色体管理方案实现对多质特征空间局部化管理；利用分段交叉和变异算子避免出现无效染色体，提高搜索效率；通过自适应调整交叉和变异概率实现强搜索能力和快收敛速度的动态平衡。实验结果表明，该方法比基本遗传算法搜索能力更强、收敛速度更快，所得最优特征子集较小，更适用于棉花异性纤维在线分类。 An opt...
AIRBORNE LIDAR FEATURE SELECTION FOR URBAN CLASSIFICATION USING RANDOM FORESTS
Lidar Full-waveform Classifi cation Feature selection Random Forests Urban scenes
2016/2/29
Various multi-echo and Full-waveform (FW) lidar features can be processed. In this paper, multiple classifers are applied to lidar
feature selection for urban scene classification. Random fores...
DRM: Dynamic Region Matching for Image Retrieval Using Probabilistic Fuzzy Matching and Boosting Feature Selection
Dynamic Region Matching Image Retrieval Probabilistic Fuzzy Matching
2010/12/17
This paper considers the semantic gap in content-based image retrieval from two aspects: (1)
irrelevant visual contents (e.g. background) scatter the mapping from image to human perception; (2) unsup...
DRM: dynamic region matching for image retrieval using probabilistic fuzzy matching and boosting feature selection
Image retrieval Region matching Relevance feedback AdaBoost Long-term learning
2013/7/17
This paper considers the semantic gap in content-based image retrieval from two aspects: (1) irrelevant visual contents (e.g. background) scatter the mapping from image to human perception; (2) unsupe...
MEAN-SHIFT BLOB TRACKING WITH ADAPTIVE FEATURE SELECTION AND SCALE ADAPTATION
MEAN-SHIFT BLOB TRACKING FEATURE SELECTION SCALE ADAPTATION
2010/12/17
When the appearances of the tracked object and surrounding background change during tracking, fixed feature space tends to cause tracking failure. To address this problem, we propose a method to embed...