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中国地质大学科学技术发展院唐厂，王力哲 等，计算机学院. IEEE T-PAMI (2020), DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Discriminative Multi-scale Deep Features
基于多尺度；深度；特征；迭代融合；修正；图像模糊；检测网络
2021/10/15
2020年8月6日，IEEE模式分析与机器智汇刊《IEEE Transactions on Pattern Analysis and Machine Intelligence》正式首次刊发了中国地质大学计算机学院唐厂副教授与国防科技大学、澳大利亚卧龙岗大学、悉尼大学等单位合作完成的研究成果——DeFusionNET: Defocus Blur Detection via Recurrently F...
中国地质大学科学技术发展院唐厂，王力哲 等，计算机学院. AAAI (2020), R2MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features
基于；循环多尺度；残差；特征；修正；神经网络；图像；模糊检测
2021/10/15
2020年5月，国际人工智能协会顶级会议AAAI Conference on Artificial Intelligence (AAAI)正式刊发了2020年第34届会议接收的论文集。其中包括中国地质大学计算机学院唐厂副教授、王力哲教授以及孙琨副教授与国防科技大学、悉尼大学以及阿里巴巴达摩院合作完成的研究成果——R2MRF: Defocus Blur Detection via Recurrent...
AN INVESTIGATION INTO IMAGE ORIENTATION USING LINEAR FEATURES
Exterior orientation parameters (EOP) Linear features Collinearity equations
2015/9/28
At present all commercially available digital photogrammetric software products are utilizing points to solve the
problem of image orientation. Photogrammetry based on linear features is still at th...
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...
Link Prediction in Graphs with Autoregressive Features
Autoregressive Features Link Prediction Graphs
2012/11/22
In the paper, we consider the problem of link prediction in time-evolving graphs. We assume that certain graph features, such as the node degree, follow a vector autoregressive (VAR) model and we prop...
Extended BIC for linear regression models with diverging number of relevant features and high or ultra-high feature spaces
Diverging number of parameters Feature selection Extended Bayes information criterion High dimensional feature space
2011/9/5
Abstract: In many conventional scientific investigations with high or ultra-high dimensional feature spaces, the relevant features, though sparse, are large in number compared with classical statistic...
Visually Dynamic Presentation of Proofs in Plane Geometry Part 1. Basic Features and the Manual Input Method
Geometry theorem proving Visually dynamic presentation of proof Dynamic geometry Unordered geometry Gelernter Java Geometry Expert Morley’s theorem Feuerbach’s theorem Pythagorean theorem Pedal triangle
2013/9/9
With dynamic mediums such as computer displays, we propose a new kind of visually dynamic presentation of proofs in plane geometry. In asingle diagram for the proof, when the proof text goes on step b...
A new texture segmentation method based on the fuzzy C-mean algorithm and statistical features
Texture analysis Fuzzy C-Means algorithm
2010/9/16
The segmentation of textured images is a fundamental problem in image processing and pattern recognition, which has been addressed for different applications with several methods. In this paper, the p...
Fuzzy classification of physiographic features extracted from multiscale DEMs
multiscale DEMs physiograhic features the lifting scheme
2010/9/15
Geomorphological landforms are generally viewed as Boolean objects. However, recent studies have shown that landforms are more suitable to be viewed as fuzzy objects,whereby a landform is defined as a...