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Incremental Learning With Open-Set Recognition for Remote Sensing Image Scene Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 16
作者:  Liu, Weiwei;  Nie, Xiangli;  Zhang, Bo;  Sun, Xian
收藏  |  浏览/下载：90/0  |  提交时间：2023/02/07
Task analysis  Feature extraction  Data models  Computational modeling  Learning systems  Training  Support vector machines  Deep learning  incremental learning  open-set recognition (OSR)  remote sensing (RS) image scene classification  
Learning with smooth Hinge losses 期刊论文
NEUROCOMPUTING, 2021, 卷号: 463, 页码: 379-387
作者:  Luo, JunRu;  Qiao, Hong;  Zhang, Bo
收藏  |  浏览/下载：121/0  |  提交时间：2022/04/02
Smooth Hinge loss  Convex surrogate loss  Support vector machine  Trust region Newton method  
A Minimax Probability Machine for Nondecomposable Performance Measures 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Luo, Junru;  Qiao, Hong;  Zhang, Bo
收藏  |  浏览/下载：143/0  |  提交时间：2022/04/02
Measurement  Task analysis  Covariance matrices  Support vector machines  Prediction algorithms  Minimization  Kernel  Imbalanced classification  minimax probability machine  nondecomposable performance measures  
The Grassmannian of affine subspaces 期刊论文
FOUNDATIONS OF COMPUTATIONAL MATHEMATICS, 2020, 页码: 38
作者:  Lim, Lek-Heng;  Wong, Ken Sze-Wai;  Ye, Ke
收藏  |  浏览/下载：169/0  |  提交时间：2020/06/30
Affine Grassmannian  Affine subspaces  Schubert calculus  homotopy and (co)homology  Probability densities  Distances and metrics  Multivariate data analysis  
Probe Efficient Feature Representation of Gapped K-mer Frequency Vectors from Sequences Using Deep Neural Networks 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020, 卷号: 17, 期号: 2, 页码: 657-667
作者:  Cao, Zhen;  Zhang, Shihua
收藏  |  浏览/下载：190/0  |  提交时间：2020/05/24
DNA  Bioinformatics  Kernel  Feature extraction  Support vector machines  Genomics  Task analysis  Bioinformatics  machine learning  gapped k-mer  deep neural network  transcription factor binding site prediction