【91230101】基于深度学习的异构数据低维非线性表示国家自然基金项目

基于深度学习的异构数据低维非线性表示

项目批准号： 91230101

批准年份： 2012

学科分类： A0606.人工智能中的数学理论与方法

项目负责人：张讲社

资助类别：重大研究计划

负责人职称：教授

依托单位：西安交通大学

资助金额： 70万元

关键词：稀疏表示;异构数据;特征提取;深度学习;维数约减

起止时间： 2013-01-01到2015-12-31

中英文摘要
结题摘要
结题报告
项目成果
项目参与人

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序号	标题	类型	作者
1	Enhancing low-rank subspace clustering by manifold regularization	期刊论文	Liu, Junmin\|Chen, Yijun\|Zhang, Jiangshe\|Xu, Zongben\|
2	Independent Component Analysis Based on Information Bottleneck	期刊论文	Jiangshe Zhang\|H MSrivastava\|Wei Wei\|Guang-She Chen\|
3	An Improved Adaptive Intensity-Hue-Saturation Method for the Fusion of Remote Sensing Images	期刊论文	Leung, Yee\|Liu, Junmin\|Zhang, Jiangshe\|
4	An improved adaptive Intensity–Hue–Saturation method for the fusion of remote sensing images	期刊论文	Leung, Yee\|Liu, Junmin\|Zhang, Jiangshe\|
5	IRUSRT: A Novel Imbalanced Learning Technique by Combining Inverse Random Under Sampling and Random Tree	期刊论文	Wang, Guan-Wei\|Zhang, Jiang-She\|Guo, Gao\|Ying, Qing-Yan\|
6	Enhancing performance of restricted Boltzmann machines via log-sum regularization	期刊论文	Ji, Nannan\|Zhang, Jiangshe\|Zhang, Chunxia\|Yin, Qingyan\|
7	Spectral unmixing via compressive sensing	期刊论文	Liu, Junmin\|Zhang, Jiangshe\|
8	Model selection of the generalized von Mises distribution based on empirical mode decomposition with data analyses	期刊论文	Qin, Xu\|Zhang, Jiangshe\|Yan, Xiaodong\|
9	Sparse Signal Reconstruction Based on Multiparameter Approximation Function with Smoothed l(0) Norm	期刊论文	Fang, Xiao-Feng\|Zhang, Jiang-She\|Li, Ying-Qi\|
10	A Novel Selective Ensemble Algorithm for Imbalanced Data Classification Based on Exploratory Undersampling	期刊论文	Yin, Qing-Yan\|Zhang, Jiang-She\|Zhang, Chun-Xia\|Ji, Nan-Nan\|
11	Learning ensemble classifiers via restricted Boltzmann machines	期刊论文	Zhang, Chunxia\|Zhang, Jiangshe\|Ji, Nannan\|Guo, Gao\|
12	Enhancing performance of the backpropagation algorithm via sparse response regularization	期刊论文	Ji, Nannan\|Liu, Junmin\|Pan, Jiyuan\|Meng, Deyu\|
13	A new deep neural network based on a stack of single-hidden-layer feedforward neural networks with randomly fixed hidden neurons	期刊论文	Hu, Junying\|Zhang, Jiangshe\|Zhang, Chunxia\|Wang, Juan\|
14	Discriminative restricted Boltzmann machine for invariant pattern recognition with linear transformations	期刊论文	Ji, Nannan\|Zhang, Jiangshe\|Zhang, Chunxia\|Wang, Lei\|
15	Singe value decompostion projection for solving the small sample size problem in face recognition	期刊论文	Wang, Changpeng\|Zhang, Jiangshe\|Chang, Guodong\|Ke, Qiao\|
16	Enhancing Low-Rank Subspace Clustering by Manifold Regularization	期刊论文	Junmin Liu\|Yijun Chen\|Jiangshe Zhang\|Zongben Xu\|
17	A Novel Bagging Ensemble Approach for Variable Ranking and Selection for Linear Regression Models	会议论文
18	IRUSRT: a novel imbalanced learning technique by combining inverse random under sampling and random tree	期刊论文	Zhang, Chunxia\|Wang, Guanwei\|Zhang, Jiangshe\|Guo, Gao\|
19	A sparse-response deep belief network based on rate distortion theory	期刊论文	Ji, Nannan\|Zhang, Jiangshe\|Zhang, Chunxia\|
20	Parallel tempering with equi-energy moves for training of restricted Boltzmann machines	会议论文
21	L1/2,1 group sparse regularization for compressive sensing	期刊论文	Shengcai Liu\|JIangshe Zhang\|Junmin Liu\|Qingyan Yin\|
22	An empirical study on the performance of cost-sensitive boosting algorithms with different levels of class imbalance	期刊论文	Yin, Qingyan\|Zhang, Jiangshe\|Zhang, Chunxia\|
23	Learning latent features by nonnegative matrix factorization combining similarity judgments	期刊论文	Zhang, Jiangshe\|Wang, Changpeng\|Yang, Yuqian\|
24	A novel selective ensemble learning algorithm for imbalanced data classification based on exploratory	期刊论文	Yin, Qingyan\|Zhang, Jiangshe\|Zhang Chunxia\|Ji, Nannan\|
25	Spectral unmixing via compressive sensing	期刊论文	Liu, Junmin\|Zhang, Jiangshe\|
26	A Novel Bagging Ensemble Approach for Variable Ranking and Selection for Linear Regression Models	会议论文

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