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浏览/检索结果: 共35条，第1-10条 帮助 限定条件 发表日期：2021    专题：自动化研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14 作者:  Wang, Peisong;  Li, Fanrong;  Li, Gang;  Cheng, Jian 收藏  |  浏览/下载：42/0  |  提交时间：2022/01/27 Hardware acceleration  image classification  neural networks  pruning  software-hardware codesign   Classifying the tracing difficulty of 3D neuron image blocks based on deep learning 期刊论文 Brain Informatics, 2021, 卷号: 8, 期号: 1 作者:  Yang,Bin;  Huang,Jiajin;  Wu,Gaowei;  Yang,Jian 收藏  |  浏览/下载：30/0  |  提交时间：2021/12/28 Deep learning  Tracing difficulty classification  Residual neural network  Fully connected neural network  Long short-term memory network   Learning to Model Relationships for Zero-Shot Video Classification 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 10, 页码: 3476-3491 作者:  Gao, Junyu;  Zhang, Tianzhu;  Xu, Changsheng 收藏  |  浏览/下载：55/0  |  提交时间：2021/11/04 Zero-shot video classification  graph neural networks  zero-shot learning  deep attention model   Brain imaging-based machine learning in autism spectrum disorder: methods and applications 期刊论文 JOURNAL OF NEUROSCIENCE METHODS, 2021, 卷号: 361, 页码: 14 作者:  Xu, Ming;  Calhoun, Vince;  Jiang, Rongtao;  Yan, Weizheng;  Sui, Jing 收藏  |  浏览/下载：115/0  |  提交时间：2021/11/02 Autism spectrum disorder (ASD)  Machine learning  Classification  Prediction  fMRI  sMRI  dMRI   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：28/0  |  提交时间：2022/01/27 Measurement  Task analysis  Covariance matrices  Support vector machines  Prediction algorithms  Minimization  Kernel  Imbalanced classification  minimax probability machine  nondecomposable performance measures   Specific Borrmann classification in advanced gastric cancer by an ensemble multilayer perceptron network: a multicenter research 期刊论文 MEDICAL PHYSICS, 2021, 页码: 12 作者:  Wang, Siwen;  Dong, Di;  Zhang, Wenjuan;  Hu, Hui;  Li, Hailin 收藏  |  浏览/下载：60/0  |  提交时间：2021/11/02 advanced gastric cancer  Borrmann classification  ensemble learning  multilayer perceptron networks  radiomics   Online Multiview Deep Forest for Remote Sensing Image Classification via Data Fusion 期刊论文 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021, 卷号: 18, 期号: 8, 页码: 1456-1460 作者:  Nie, Xiangli;  Gao, Ruofei;  Wang, Rui;  Xiang, Deliang 收藏  |  浏览/下载：55/0  |  提交时间：2021/11/02 Vegetation  Forestry  Random forests  Feature extraction  Remote sensing  Data models  Training data  Deep forest  online multiview learning  polarimetric synthetic aperture radar (PolSAR)  remote sensing data classification   Quantum Probability-inspired Graph Neural Network for Document Representation and Classification 期刊论文 Neurocomputing, 2021, 卷号: 445, 页码: 276-286 作者:  Yan, Peng;  Li, Lingjing;  Jin, Miaotianzi;  Zeng, Daniel 收藏  |  浏览/下载：3/0  |  提交时间：2022/06/16 Natural language processing  Document representation  Document classification  Graph neural network  Quantum probability   Broad Learning System Based on Maximum Correntropy Criterion 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 3083-3097 作者:  Zheng, Yunfei;  Chen, Badong;  Wang, Shiyuan;  Wang, Weiqun 收藏  |  浏览/下载：75/0  |  提交时间：2021/08/15 Learning systems  Robustness  Standards  Optimization  Training  Perturbation methods  Mean square error methods  Broad learning system (BLS)  incremental learning algorithms  maximum correntropy criterion (MCC)  regression and classification   Meta-Prototypical Learning for Domain-Agnostic Few-Shot Recognition 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 期号: 1, 页码: 7 作者:  Wang, Rui-Qi;  Zhang, Xu-Yao;  Liu, Cheng-Lin 收藏  |  浏览/下载：3/0  |  提交时间：2022/01/27 Task analysis  Testing  Training  Prototypes  Learning systems  Adaptation models  Pattern recognition  Domain-agnostic few-shot recognition  image classification  meta-learning  prototypical learning