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检索条件"机构=Laboratory of Pattern Recognition and Intelligent System"
215 条 记 录,以下是51-60 订阅
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Competing Ratio Loss for Multi-class image Classification  34
Competing Ratio Loss for Multi-class image Classification
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34th IEEE International Conference on Visual Communications and Image Processing, VCIP 2019
作者: Zhang, Ke Wang, Xinsheng Guo, Yurong Zhao, Zhenbing Ma, Zhanyu North China Electric Power University Department of Electronic and Communication Engineering Hebei China Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing China
Cross-entropy loss function (CEL) is widely used for training a multi-class classification deep convolutional neural network (DCNN). While CEL has been successfully implemented in image classification tasks, it only f... 详细信息
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intelligent Parking Big Data Cloud Platform Algorithm Research and Application  6
Intelligent Parking Big Data Cloud Platform Algorithm Resear...
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6th International Conference on Computer Information Science and Application Technology, CISAT 2023
作者: Yan, Xiaobo Zou, Xue Cai, Shan Wang, Lin Key Laboratory of Pattern Recognition and Intelligent System of Guizhou Province Guizhou Minzu University Guiyang China College of Date Science and Information Engineering Guizhou Minzu University Guiyang China
With the rapid development of the domestic economy and the increasing living standards of the people, the ownership of private cars has increased explosively. Currently, urban traffic congestion and parking difficulty... 详细信息
来源: 评论
Tempo Variation Based Multilayer Filters for Query by Humming
Tempo Variation Based Multilayer Filters for Query by Hummin...
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International Conference on pattern recognition
作者: Qiang Wang Zhiyuan Guo Baoxiang Li Gang Liu Jun Guo Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications
In this paper we propose a methodology of multilayer filters based on tempo variation for realizing a query by humming (QBH) system. Firstly the original query clip is used to search for the candidate songs. If the re... 详细信息
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Multi-feature content-based product image retrieval based on region of main object
Multi-feature content-based product image retrieval based on...
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8th International Conference on Information, Communications and Signal Processing, ICICS 2011
作者: Chai, Lunshao Zhang, Honggang Qin, Zhen Yu, Jie Qi, Yonggang Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing China Riverside Lab for Artificial Intelligence Research University of California Riverside Riverside CA United States
Content-based image retrieval (CBIR) has got an intense interest and seen considerable progress over the last decade. But most of the time it is only applied in laboratory. One important reason for this is the diversi... 详细信息
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Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization
Dual-attention Guided Dropblock Module for Weakly Supervised...
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International Conference on pattern recognition
作者: Junhui Yin Siqing Zhang Dongliang Chang Zhanyu Ma Jun Guo Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications
Attention mechanisms is frequently used to learn the discriminative features for better feature representations. In this paper, we extend the attention mechanism to the task of weakly supervised object localization (W... 详细信息
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WAF BASED TOPIC DETECTION IN MICRO-BLOG
WAF BASED TOPIC DETECTION IN MICRO-BLOG
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2012 IEEE 2nd International Conference on Cloud Computing and Intelligence systems
作者: Xiaoning Li Guang Chen Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications
Micro-blog is a new information sharing tool which is more and more popular these days. In very short time there are a large number of messages posted and it is difficult for people to grasp main topics that most peop... 详细信息
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A bottom-up kernel of pattern learning for relation extraction
A bottom-up kernel of pattern learning for relation extracti...
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International Symposium on Chinese Spoken Language Processing
作者: Chunyun Zhang Weiran Xu Sheng Gao Jun Guo Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications
Measuring the similarity of patterns is the key in pattern-based approaches in relation extraction. Most existing methods generally rely on inflexible pattern similarity measurements which often lead to low recall. In... 详细信息
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A music retrieval system based on spoken lyric queries
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International Journal of Advancements in Computing Technology 2012年 第8期4卷 173-180页
作者: Guo, Zhiyuan Wang, Qiang Liu, Gang Guo, Jun Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing 100876 China
This paper proposes a spoken lyric search system, which can help users to find the wanted music based on their input spoken lyric phrases. Using spoken lyric phrases to query a music retrieval system is convenient for... 详细信息
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Boosting-POOF: Boosting Part Based One vs One Feature for Facial Expression recognition in the Wild
Boosting-POOF: Boosting Part Based One vs One Feature for Fa...
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International Conference on Automatic Face and Gesture recognition
作者: Zhiwen Liu Shan Li Weihong Deng Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications
Recent years, facial expression recognition has remained a challenging and interesting problem, especially for faces in the real world. Most of the traditional approaches are based on Action Units (AUs) detection or l... 详细信息
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Image spam classification based on convolutional neural network
Image spam classification based on convolutional neural netw...
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International Conference on Machine Learning and Cybernetics (ICMLC)
作者: Er-Xin Shang Hong-Gang Zhang Pattern Recognition and Intelligent System Laboratory Beijing University of Post and Telecommunication
Image classification is a fundamental problem in computer vision and pattern recognition. Feature extraction is often regarded as the key for classifying images. Traditional ways rely on handcrafted features heavily, ... 详细信息
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