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检索条件"任意字段=Parallel and Distributed Methods for Image Processing II"
1261 条 记 录,以下是401-410 订阅
Local Orthogonal-Group Testing  15th
Local Orthogonal-Group Testing
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15th European Conference on Computer Vision (ECCV)
作者: Iscen, Ahmet Chum, Ondrej Czech Tech Univ Fac EE Visual Recognit Grp Prague Czech Republic
This work addresses approximate nearest neighbor search applied in the domain of large-scale image retrieval. Within the group testing framework we propose an efficient off-line construction of the search structures. ... 详细信息
来源: 评论
DSANLS: Accelerating distributed Nonnegative Matrix Factorization via Sketching  18
DSANLS: Accelerating Distributed Nonnegative Matrix Factoriz...
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11th ACM International Conference on Web Search and Data Mining
作者: Qian, Yuqiu Tan, Conghui Mamoulis, Nikos Cheung, David W. Univ Hong Kong Hong Kong Peoples R China Chinese Univ Hong Kong Hong Kong Peoples R China Univ Ioannina Ioannina Greece
Nonnegative matrix factorization (NMF) has been successfully applied in different fields, such as text mining, image processing, and video analysis. NMF is the problem of determining two non-negative low rank matrices... 详细信息
来源: 评论
DnM3Net: Multi-Scale & Multi-Level Shuffle-CNN Via Multi-Level Attention for image Denoising
DnM3Net: Multi-Scale & Multi-Level Shuffle-CNN Via Multi-Lev...
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IEEE International Symposium on parallel and distributed processing with Applications and IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC)
作者: Yue Cao Jinhe He Yu Zhang Gang Lu Shigang Liu Xiaojun Wu School of Computer Science Shaanxi Normal University Xian Shaanxi Normal University Xi'an China
Recently, based on novel convolutional neural net-work architectures proposed, tremendous advances have been achieved in image denoising task. An effective and efficient multi-level network architecture for image deno... 详细信息
来源: 评论
Siamese Network for Visual Tracking via Focal Loss
Siamese Network for Visual Tracking via Focal Loss
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IEEE International Symposium on parallel and distributed processing with Applications and IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC)
作者: Shan Jiang Cheng Han Xiaoqiang Di Hua Li School of Computer Science and Technology ChangChun Unviersity of Science and Technology Changchun China
Visual tracking is a fundamental problem in computer vision. Lots efforts have been made in the past decades and researchers have obtained some achievements, but there are still problems exist. To get a more powerful ... 详细信息
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Multiple License Plate Location Algorithm in Complex Scene
Multiple License Plate Location Algorithm in Complex Scene
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IEEE International Symposium on parallel and distributed processing with Applications and IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC)
作者: YuMei Zhou MeiNi Lv ZiQing Ling DongLing Li School of Electrical and Eletronic Engineering TianHe College of GuangDong Polytechnic Normal University GuangZhou China School of Eletronic and Information Engineering WuZhou University WuZhou China
Aiming at the problem that the existing license plate location methods can't work well in locating the license plate in certain natural scenes such as low luminance, low resolution and inclination scene of vehicle... 详细信息
来源: 评论
Enhanced Knowledge Distillation for Face Recognition
Enhanced Knowledge Distillation for Face Recognition
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IEEE International Conference on Big Data and Cloud Computing (BdCloud)
作者: Hao Ni Jie Shen Chong Yuan Yingcai Honors College University of Electronic Science and Technology of China Chengdu China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China
Face recognition have been widely used in different industries due to the advancement of deep convolutional neural networks. Although deep learning has greatly promoted the development of face recognition technology, ... 详细信息
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An Integrative Approach to Robust Hand Detection Using CPM-YOLOv3 and RGBD Camera in Real Time
An Integrative Approach to Robust Hand Detection Using CPM-Y...
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IEEE International Conference on Big Data and Cloud Computing (BdCloud)
作者: Muhammad Raza Vachiraporn Ketsoi Haopeng Chen School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China
Innovative methods to interact with electronic devices are attracting researchers attentions, and many applications of Human Computer Interaction have been developed in recent years. Hand detection under different ill... 详细信息
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The Challenge of a Strong Speed-Up of a Bio-Medical Big Data Application
The Challenge of a Strong Speed-Up of a Bio-Medical Big Data...
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IEEE International Conference on Big Data (Big Data)
作者: Strutz, Marco Lindequist, Bjoern Hessling, Hermann Streit, Achim Univ Appl Sci HTW Berlin Wilhelminenhofstr 75A D-12459 Berlin Germany KIT SCC Hermann von Helmholtz Pl 1 D-76344 Eggenstein Leopoldshafen Germany
Digital data of patients can aid a pathologist along the diagnostic process In Medical devices generate data sets that are processed by specialized computing applications, which often run on a single computer. The res... 详细信息
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An identification framework for print-scan books in a large database
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INFORMATION SCIENCES 2017年 396卷 33-54页
作者: Lee, Sang-Hoon Kim, Jongyoo Lee, Sanghoon Yonsei Univ Dept Elect & Elect Engn Seoul 120749 South Korea
In this paper, we propose an identification framework to determine copyright infringement in the form of illegally distributed print-scan books in a large database. The framework contains following main stages: image ... 详细信息
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Stacked Sparse Auto-Encoder for Deep Clustering
Stacked Sparse Auto-Encoder for Deep Clustering
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IEEE International Conference on Big Data and Cloud Computing (BdCloud)
作者: Jinyu Cai Shiping Wang Wenzhong Guo College of Mathematics and Computer Science Fuzhou university Fuzhou China
Deep clustering attempts to capture the feature representation that benefits the clustering issue for inputs. Although the existing deep clustering methods have achieved encouraging performance in many research fields... 详细信息
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