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2021年6月25-27日，国家天元数学西北中心在西安交通大学举办Statistical learning methods in modern AI国际会议。本次会议由普林斯顿大学范剑青院士、美国北卡罗来纳教堂山分校朱宏图教授和西安交通大学姜丹丹教授共同召集组织。会议邀请了世界知名高校及企业的一线专家以线上或线下的方式带来了29场前沿学术报告。西安交通大学的青年教师和在校研究生现场聆听了报告，30...
A STATISTICAL TEXTURE FEATURE FOR BUILDING COLLAPSE INFORMATION EXTRACTION OF SAR IMAGE
Synthetic Aperture Radar (SAR), Building Collapse Information, Texture, G0 Distribution, Texture Parameter
2018/5/14
Synthetic Aperture Radar (SAR) has become one of the most important ways to extract post-disaster collapsed building information, due to its extreme versatility and almost all-weather, day-and-night w...
2017年初始故障建模，检测和估计的统计信号处理方法专题会议（Special Session on Modelling,Detection and Estimation of Incipient faults using statistical-based signal processing methods）
2017年 故障建模 检测 估计 统计信号处理方法 专题会议
2017/10/24
Within the health-monitoring frame, fault diagnosis includes the following steps: modelling, detection, isolation andestimation. Quantitative-based methods have been successfully used so far in divers...
2017卡帕分布与统计力学研讨会（Kappa Distributions and Statistical Mechanics Workshop）
2017 卡帕分布与统计力学 研讨会
2017/7/3
Classical particle systems reside at thermal equilibrium with their velocity distribution function stabilized into a Maxwell distribution. On the contrary, collisionless and correlated particle system...
NO-REFERENCE IMAGE QUALITY ASSESSMENT FOR ZY3 IMAGERY IN URBAN AREAS USING STATISTICAL MODEL
Image quality assessment Statistical model Generalized Gaussian distribution (GGD) High-resolution remote sensing images Urban area ZY3
2016/7/28
More and more high-spatial resolution satellite images are produced with the improvement of satellite technology. However, the quality of images is not always satisfactory for application. Due to the ...
ESTIMATING RELIABILITY OF DISTURBANCES IN SATELLITE TIME SERIES DATA BASED ON STATISTICAL ANALYSIS
Multi-temporal Anomaly Detection Change Detection Disturbance Detection Confidence Level Time Series
2016/7/27
Normally, the status of land cover is inherently dynamic and changing continuously on temporal scale. However, disturbances or abnormal changes of land cover — caused by such as forest fire, flood, de...
A PROBABILITY-BASED STATISTICAL METHOD TO EXTRACT WATER BODY OF TM IMAGES WITH MISSING INFORMATION
Probability statistics Water body extraction of TM images Missing information
2016/7/8
Water information cannot be accurately extracted using TM images because true information is lost in some images because of blocking clouds and missing data stripes, thereby water information cannot b...
DE-STRIPING FOR TDICCD REMOTE SENSING IMAGE BASED ON STATISTICAL FEATURES OF HISTOGRAM
Statistical Features of Histogram De-striping Histogrammic Centroid Correlation Coefficient Automatic Cloud Detection Non-uniformity
2016/7/4
Aim to striping noise brought by non-uniform response of remote sensing TDI CCD, a novel de-striping method based on statistical features of image histogram is put forward. By analysing the distributi...
Scalable Statistical Bug Isolation
bug isolation random sampling invariants feature selection statistical debugging
2016/5/24
We present a statistical debugging algorithm that isolates bugs in programs containing multiple undiagnosed bugs. Earlier statistical algorithms that focus solely on identifying predictors that correl...
Statistical Debugging: Simultaneous Identification of Multiple Bugs
Statistical Debugging Simultaneous Identification Multiple Bugs
2016/5/24
We describe a statistical approach to software debugging in the presence of multiple bugs. Due to sparse sampling issues and complex interaction between program predicates,many generic off-the-shelf a...
PSE FOR REGIONAL ECONOMY SPATIAL ANALYSIS BASED ON SPATIAL STATISTICAL MODEL
PSE Spatial Statistics Grey Clustering Regional Economy Spatial Analysis Visualization Model Verification
2016/3/17
Analyzing the law of economic development and estimating the regional economy development’s level to discover the relation between the economy development and area diversity, which can providethe refe...
STATISTICAL DATA ANALYSIS AND MODELING OF SKIN DISEASES
E-learning statistical data analysis and modeling skin diseases CSR tests
2016/1/29
Skin diseases are categorized in different types and one type which we deal with is a kind of fungus infections on the skin. This spotted pattern makes their home in moist area of the body where the s...
Improving the orientation-dependent statistical potential using a reference state
energy function orientation-dependent statistical potential
2016/1/22
Improving the orientation-dependent statistical potential using a reference state.
Learning Arbitrary Statistical Mixtures of Discrete Distributions
Randomized algorithms Mixture learning Transportation distance Kantorovich-Rubinstein duality
2016/1/22
We study the problem of learning from unlabeled samples very general statistical mixture models on large finite sets.Specifically, the model to be learned, ϑ, is a probability dis-tribution over ...
Fusion of GIS and Statistical Features of Satellite SAR Images for Earthquake Damage Mapping At the Block Scale
Earthquake Damage Mapping SAR Urban Remote Sensing
2015/12/18
This work shows that multitemporal SAR data allows mapping earthquake damage in urban areas with an acceptable accuracy, once some ancillary information defining urban blocks is available. A statistic...