咨询与建议

限定检索结果

文献类型

  • 91 篇 会议
  • 24 篇 期刊文献

馆藏范围

  • 115 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 80 篇 工学
    • 64 篇 计算机科学与技术...
    • 48 篇 软件工程
    • 36 篇 信息与通信工程
    • 16 篇 动力工程及工程热...
    • 11 篇 电子科学与技术(可...
    • 8 篇 仪器科学与技术
    • 7 篇 控制科学与工程
    • 6 篇 电气工程
    • 4 篇 机械工程
    • 4 篇 光学工程
    • 3 篇 化学工程与技术
    • 3 篇 生物医学工程(可授...
    • 3 篇 生物工程
    • 2 篇 建筑学
    • 2 篇 农业工程
    • 1 篇 力学(可授工学、理...
    • 1 篇 材料科学与工程(可...
    • 1 篇 土木工程
  • 39 篇 理学
    • 26 篇 数学
    • 6 篇 统计学(可授理学、...
    • 4 篇 物理学
    • 4 篇 化学
    • 4 篇 生物学
    • 4 篇 系统科学
  • 23 篇 管理学
    • 13 篇 管理科学与工程(可...
    • 9 篇 图书情报与档案管...
    • 4 篇 工商管理
  • 5 篇 法学
    • 5 篇 社会学
  • 3 篇 农学
    • 3 篇 作物学
  • 1 篇 经济学
    • 1 篇 应用经济学
  • 1 篇 医学

主题

  • 9 篇 wireless sensor ...
  • 7 篇 sensor nodes
  • 6 篇 adaptation model...
  • 5 篇 semantic segment...
  • 5 篇 throughput
  • 5 篇 instruction sets
  • 5 篇 training
  • 4 篇 parallel algorit...
  • 4 篇 collaborative fi...
  • 4 篇 transformers
  • 4 篇 target tracking
  • 4 篇 algorithm design...
  • 4 篇 feature extracti...
  • 4 篇 graphics process...
  • 4 篇 information scie...
  • 3 篇 deep learning
  • 3 篇 network topology
  • 3 篇 data mining
  • 3 篇 computational mo...
  • 3 篇 control engineer...

机构

  • 66 篇 key laboratory o...
  • 48 篇 school of comput...
  • 24 篇 college of compu...
  • 11 篇 key laboratory o...
  • 7 篇 key laboratory o...
  • 6 篇 school of comput...
  • 5 篇 school of inform...
  • 5 篇 jiaxiang industr...
  • 4 篇 heilongjiang uni...
  • 2 篇 beijing institut...
  • 2 篇 jiaxiang industr...
  • 2 篇 college of compu...
  • 2 篇 harbin research ...
  • 2 篇 school of comput...
  • 2 篇 key laboratory o...
  • 2 篇 黑龙江大学
  • 2 篇 university of ch...
  • 2 篇 key laboratory o...
  • 2 篇 college of compu...
  • 2 篇 department of co...

作者

  • 19 篇 li jinbao
  • 18 篇 jun lu
  • 18 篇 lu jun
  • 13 篇 guo longjiang
  • 11 篇 yan yang
  • 9 篇 li jin-bao
  • 8 篇 yang yan
  • 7 篇 ren meirui
  • 7 篇 zhu jinghua
  • 6 篇 zhang desheng
  • 6 篇 jinbao li
  • 6 篇 guo long-jiang
  • 5 篇 zhu jing-hua
  • 5 篇 jun li
  • 5 篇 ruiqing jing
  • 4 篇 longjiang guo
  • 4 篇 jinghua zhu
  • 4 篇 liu yong
  • 4 篇 zhong yingli
  • 3 篇 yingli zhong

语言

  • 96 篇 英文
  • 19 篇 中文
检索条件"机构=Key Laboratory of Database and Parallel Computingof Heilongjiang Province"
115 条 记 录,以下是21-30 订阅
排序:
Visible-Infrared Image Fusion Based on Double- Density Wavelet and Thermal Exchange Optimization  5
Visible-Infrared Image Fusion Based on Double- Density Wavel...
收藏 引用
5th IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2021
作者: Guo, Hao Chen, Jingyu Yang, Xuan Jiao, Qingliang Liu, Ming Beijing Institute of Environmental Features Beijing China Key Laboratory of Database and Parallel Computing of Heilongjiang Province Harbin China
Infrared and visible image fusion has been a hot issue in image fusion. However, the parameters and result image have many proposed. In this paper, a novel visible infrared image fusion algorithm based on double-densi... 详细信息
来源: 评论
Community Search in Spatial Uncertain Network
Community Search in Spatial Uncertain Network
收藏 引用
2021 Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2021
作者: Zhang, Wenqian Zhong, Yingli Yang, Yan School of Computer Science Technology Heilongjiang University Harbin150080 China Key Laboratory of Database and Parallel Computing of Heilongjiang Province Harbin150080 China
Community search is to explore valuable target community structure from a large social network. In real community, every point has a geographic location information, and many edges are uncertain. Such a network is cal... 详细信息
来源: 评论
Cross-Modality Encoder Representations Based On External Attention Mechanism
Cross-Modality Encoder Representations Based On External Att...
收藏 引用
Neural Networks, Information and Communication Engineering (NNICE), International Conference on
作者: Yudong Zheng Jun Lu College of Computer Science and Technology Heilongjiang University Harbin China College of Computer Science and Technology Heilongjiang University Key Laboratory of Database and Parallel Computing of Heilongjiang Province Harbin China
With the prevalence of deep learning, people use multi-modality information for interpretation and reasoning. In this paper, a cross-modality encoder CMEEA (cross-modality encoder representation based on external atte... 详细信息
来源: 评论
DMSA: DYNAMIC MULTI-SCALE UNSUPERVISED SEMANTIC SEGMENTATION BASED ON ADAPTIVE AFFINITY
arXiv
收藏 引用
arXiv 2023年
作者: Yang, Kun Lu, Jun College of Computer Science and Technology Heilongjiang University 150080 Harbin China Jiaxiang Industrial Technology Research Institute of HLJU Jining Shandong Province China Key Laboratory of Database and Parallel Computing of Heilongjiang Province Harbin China
The proposed method in this paper proposes an end-to-end unsupervised semantic segmentation architecture DMSA based on four loss functions. The framework uses Atrous Spatial Pyramid Pooling (ASPP) module to enhance fe... 详细信息
来源: 评论
DMSA: Dynamic Multi-Scale Unsupervised Semantic Segmentation Based On Adaptive Affinity
DMSA: Dynamic Multi-Scale Unsupervised Semantic Segmentation...
收藏 引用
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Kun Yang Jun Lu College of Computer Science and Technology Heilongjiang University Harbin China Jiaxiang Industrial Technology Research Institute of HLJU Jining China Key Laboratory of Database and Parallel Computing of Heilongjiang Province Harbin China
The proposed method in this paper proposes an end-to-end unsupervised semantic segmentation architecture DMSA based on four loss functions. The framework uses Atrous Spatial Pyramid Pooling (ASPP) module to enhance fe... 详细信息
来源: 评论
Node classification problem based on potential information and representation learning between nodes  7
Node classification problem based on potential information a...
收藏 引用
7th International Conference on Information Science and Control Engineering, ICISCE 2020
作者: Li, Mingming Yang, Yan Heilongjiang University School of Computer Science Technology Hearbin Province China Key Laboratory of Database and Parallel Computing of Heilongjiang Province Harbin Province China
Representation learning of social network nodes refers to the feature expression of nodes in low-dimensional vector space. Most of the current methods are based on the network topology to achieve node feature learning... 详细信息
来源: 评论
Local partition subdivision algorithm for approximate nearest neighbor query  7
Local partition subdivision algorithm for approximate neares...
收藏 引用
7th International Conference on Information Science and Control Engineering, ICISCE 2020
作者: Dong, Penghui Yang, Yan Heilongjiang University School of Computer Science and Technology Harbin China Heilongjiang Province Key Laboratory of Database and Parallel Computing Harbin China
This paper solves the problem of approximate nearest neighbor queries on high-dimensional large data sets. The two most representative methods to solve the approximate nearest neighbor query problem on high-dimensiona... 详细信息
来源: 评论
An Incremental Partitioning Graph Similarity Search Based on Tree Structure Index  6th
An Incremental Partitioning Graph Similarity Search Based on...
收藏 引用
6th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2020
作者: Li, Yuhang Yang, Yan Zhong, Yingli School of Computer Science Technology Heilongjiang University Harbin China Key Laboratory of Database and Parallel Computing of Heilongjiang Province Harbin China
Graph similarity search is a common operation of graph database, and graph editing distance constraint is the most common similarity measure to solve graph similarity search problem. However, accurate calculation of g... 详细信息
来源: 评论
Sensitivity loss training based implicit feedback
Sensitivity loss training based implicit feedback
收藏 引用
International Conference on parallel and Distributed Systems (ICPADS)
作者: Kun Li Nan Wang Xinyu Liu Key Laboratory of Database and Parallel Computing of Heilongjiang Province School of Computer Science and Technology Heilongjiang University Harbin China
In recommender systems, due to the lack of explicit feedback features, datasets with implicit feedback are always accustomed to train all samples without separating them during model training, without considering the ... 详细信息
来源: 评论
NKMH: A Neural Efficient Recommendation Based on Neighborhood key Information Aggregation of Modified Hawkes
NKMH: A Neural Efficient Recommendation Based on Neighborhoo...
收藏 引用
IEEE Annual International Computer Software and Applications Conference (COMPSAC)
作者: Xin Xu Nan Wang Hu Jin Yang Liu Kun Li Key Laboratory of Database and Parallel Computing of Heilongjiang Province School of Computer Science and Technology Heilongjiang University Harbin China Postdoctoral Program of Heilongjiang Hengxun Technology Co. Ltd School of Computer Science and Technology Heilongjiang University Harbin China
The rapid development of neural networks has con-tributed to the increasing maturity of recommendation systems. However, deep neural networks have poor interpretability for models and do not show strong advantages for... 详细信息
来源: 评论