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兰州理工大学 [66]

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会议论文 [66]

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限定条件	内容类型：会议论文专题：兰州理工大学第一署名单位第一作者单位通讯作者单位

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	OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer 会议论文作者: Li, Xiaoxu; Chang, Dongliang; Ma, Zhanyu; Tan, Zheng-Hua; Xue, Jing-Hao 收藏 \| 浏览/下载：2/0 \| 提交时间：2020/12/18 Benchmarking Deep neural networks Large dataset TestingBenchmark datasets Discriminative features Function spaces Generalization error bounds Nonlinear layers Number of class Rademacher complexity Small sample datum
	Mixed attention mechanism for small-sample fine-grained image classification 会议论文 Lanzhou, China, November 18, 2019 - November 21, 2019 作者: Li, Xiaoxu; Wu, Jijie; Chang, Dongliang; Huang, Weifeng; Ma, Zhanyu 收藏 \| 浏览/下载：0/0 \| 提交时间：2020/11/15 Classification (of information) Deep neural networks Image enhancement Attention mechanisms Classification datasets Classification methods Classification performance Discriminative features Small samples Spatial attention Training data
	Small-sample image classification method of combining prototype and margin learning 会议论文 Lanzhou, China, November 18, 2019 - November 21, 2019 作者: Li, Xiaoxu; Yu, Liyun; Cao, Jie; Chang, Dongliang; Ma, Zhanyu 收藏 \| 浏览/下载：0/0 \| 提交时间：2020/11/15 Classification (of information) Deep neural networks Image classification Large dataset Learning systems Neural networks Classification methods Ensemble learning Ensemble methods Large-scale datasets Prototype and margin learning Prototype learning Small sample datum Small samples
	Dynamic attention loss for small-sample image classification 会议论文 Lanzhou, China, November 18, 2019 - November 21, 2019 作者: Cao, Jie; Qiu, Yinping; Chang, Dongliang; Li, Xiaoxu; Ma, Zhanyu 收藏 \| 浏览/下载：0/0 \| 提交时间：2020/11/15 Convolutional neural networks Image enhancement Cross entropy Discriminative features Loss functions Machine learning approaches Model generalization Similarity measurements Small samples Training process
	A loss with mixed penalty for speech enhancement generative adversarial network 会议论文 Lanzhou, China, November 18, 2019 - November 21, 2019 作者: Cao, Jie; Zhou, Yaofeng; Yu, Hong; Li, Xiaoxu; Wang, Dan 收藏 \| 浏览/下载：1/0 \| 提交时间：2020/11/15 Speech enhancement Adversarial networks First-order statistics Least Square Loss functions Objective and subjective evaluations Phase mismatch Speech enhancement methods Vanishing gradient
	SSE: A New Selective Initialization Strategy for Snapshot Ensembling 会议论文作者: Chang, Dongliang; Li, Xiaoxu; Xie, Jiyang; Ma, Zhanyu; Guo, Jun 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/11/15 Neural Network Small-sample Classification Variance Snapshot Ensembling
	Softmax Cross Entropy Loss with Unbiased Decision Boundary for Image Classification 会议论文作者: Cao, Jie; Su, Zhe; Yu, Liyun; Chang, Dongliang; Li, Xiaoxu 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/11/15 image classification neural networks softmax cross entropy loss decision boundary
	On lyapunov stability theory for model reference adaptive control 会议论文 Changsha, Hunan, China, July 21, 2017 - July 23, 2017 作者: Tang, Min-An; Wang, Xiao-Ming; Jie, Cao; Li, Cao 收藏 \| 浏览/下载：0/0 \| 提交时间：2020/11/15 Control nonlinearities Equations of state Lyapunov functions MATLAB Numerical methods Rotating machinery Servomechanisms System stability Adaptive control methods Adaptive parameter adjustment Adjustable parameters Corresponding conclusions Intelligence control Lyapunov stability theory Numerical integration methods Rotating speed control
	On Lyapunov Stability Theory for Model Reference Adaptive Control 会议论文作者: Tang Min-an; Wang Xiao-ming; Cao Jie; Cao Li 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/11/15 intelligence control model reference adaptive control Lyapunov stability theory
	Short Term Traffic Flow Forecasting Based on Improved Echo State Network 会议论文作者: Cao, Jie; Yu, Da-Wei; Hou, Liang 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/11/15 Short Term Traffic Flow Forecast Echo State Network Reservoirs Topological Structure

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