搜索结果: 1-12 共查到“Feature Space”相关记录12条 . 查询时间(0.128 秒)
RESEARCH ON OPTIMAL OBSERVATION SCALE FOR DAMAGED BUILDINGS AFTER EARTHQUAKE BASED ON OPTIMAL FEATURE SPACE
Optimal Feature Space Damaged Buildings ESP Scale Accuracy
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2018/5/11
A new information extraction method of damaged buildings rooted in optimal feature space is put forward on the basis of the traditional object-oriented method. In this new method, ESP (estimate of sca...
STUDY ON THE DISTRIBUTION CHANGES OF URBAN HEAT ISLAND BASED ON HEAT-GREENNESS FEATURE SPACE
Urban heat island NDVI radiance temperature LandSet
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2015/12/31
Many scholars at home and abroad are extensive concerning about the forming mechanical of urban heat island phenomenon. According to correlation study, the surface temperature in the center of Beijing...
Robust Metric based Anomaly Detection in Kernel Feature Space
Anomaly detection hyperspectral images Manhanlobis distance
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2014/4/29
This thesis analyzes the anomalous measurement metric in high dimension feature space, where it is supposed the Gaussian assumption for state-of-art mahanlanobis algorithms is reasonable. The realizat...
Sequential Lasso for feature selection with ultra-high dimensional feature space
extended BIC feature selection selection consistency Sequential Lasso
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2011/7/19
We propose a novel approach, Sequential Lasso, for feature selection in linear regression models with ultra-high dimensional feature spaces.
Gabor Feature Space Diffusion via the Minimal Weighted Area Method
Gabor analysis Geometric-based algorithms Geodesic active contours Beltrami framework Anisotropic diffusion image manifolds minimal weighted area method
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2010/1/7
Gabor feature space is elaborated for representation,processing and segmentation of textured images. As a first step of preprocessing of images represented in this space, we introduce an algorithm for...
Gabor Feature Space Diffusion via the Minimal Weighted Area Method
Gabor analysis Geometric-based algorithms Geodesic active contours Beltrami framework Anisotropic diffusion image manifolds minimal weighted area method
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2010/1/7
Gabor feature space is elaborated for representation,processing and segmentation of textured images. As a first step of preprocessing of images represented in this space, we introduce an algorithm for...
Geodesic Active Contours Applied to Texture Feature Space
Geodesic Active Contours Texture Feature Space segmentation
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2010/1/7
Gabor Analysis is frequently used for texture analysis and segmentation. Once the Gaborian feature space is generated it may be interpreted in various ways for image analysis and segmentation. Image s...
Geodesic Active Contours Applied to Texture Feature Space
Geodesic Active Contours Texture Feature Space segmentation
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2010/1/7
Gabor Analysis is frequently used for texture analysis and segmentation. Once the Gaborian feature space is generated it may be interpreted in various ways for image analysis and segmentation. Image s...
Nonlinear multidimensional scaling and visualization of earthquake clusters over space,time and feature space
Nonlinear multidimensional scaling visualization of earthquake clusters time and feature space
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2009/11/9
We present a novel technique based on a multi-resolutional clustering and nonlinear multi-dimensional scaling of earthquake patterns to investigate observed and synthetic seismic catalogs. The observe...
Automatic motion learning in the presence of anomalies using coefficient feature space representation of trajectories
Object trajectory dimensionality reduction trajectory clustering
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2009/9/9
Techniques for understanding video object motion activity are becoming increasingly important with the widespread adoption of CCTV surveillance systems. Motion trajectories provide rich spatiotemporal...
Feature Space Transformation for Better Understanding Biological and Medical Classifications
Feature Space Transformation Biological Medical Classifications
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2014/3/12
Recently published gene expression profiles and proteomic mass/charge ratios are extremely high-dimensional data. Though support vector machines can well learn the inner relationship of the data for c...
The Description of the Intra-State Feature Space in Speech Recognition
Description of the Intra-State Feature Space Speech Recognition
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2013/6/27
In speech recognition, the description of the intra-state feature space is an important issue in systems based on HMM-derived acoustic models. The existing techniques include the famous methods based ...