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检索条件"机构=Department of Computer Vision and Pattern Recognition"
289 条 记 录,以下是101-110 订阅
排序:
Gene Expression Clustering: a Novel Graph Partitioning Approach
Gene Expression Clustering: a Novel Graph Partitioning Appro...
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International Joint Conference on Neural Networks (IJCNN)
作者: Yanhua Chen Ming Dong Manjeet Rege Machine Vision and Pattern Recognition Laboratory Department of Computer Science Wayne State University Detroit MI USA
In order to help understand how the genes are affected by different disease conditions in a biological system, clustering is typically performed to analyze gene expression data. In this paper, we propose to solve the ... 详细信息
来源: 评论
DocSegTr: An Instance-Level End-to-End Document Image Segmentation Transformer
arXiv
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arXiv 2022年
作者: Biswas, Sanket Banerjee, Ayan Lladós, Josep Pal, Umapada Computer Vision Center Computer Science Department Universitat Autònoma de Barcelona Spain Computer Vision and Pattern Recognition Unit Indian Statistical Institute India
Understanding documents with rich layouts is an essential step towards information extraction. Business intelligence processes often require the extraction of useful semantic content from documents at a large scale fo... 详细信息
来源: 评论
Classifiability based omnivariate decision trees
Classifiability based omnivariate decision trees
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International Joint Conference on Neural Networks (IJCNN)
作者: Y. Li M. Dong Machine Vision and Pattern Recognition Laboratory Department of Computer Science Wayne State University Detroit MI USA
Decision trees represent a simple and powerful method of induction from labeled examples. Univariate decision trees consider the value of a single attribute at each node, leading to the splits that are parallel to the... 详细信息
来源: 评论
3D object retrieval with semantic attributes  11
3D object retrieval with semantic attributes
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19th ACM International Conference on Multimedia ACM Multimedia 2011, MM'11
作者: Gong, Boqing Liu, Jianzhuang Wang, Xiaogang Tang, Xiaoou Department of Information Engineering Chinese University of Hong Kong Hong Kong Department of Electronic Engineering Chinese University of Hong Kong Hong Kong Shenzhen Key Laboratory for Computer Vision and Pattern Recognition Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences China
Humans are capable of describing objects using attributes, such as "the object looks circular and is man-made". Motivated by these high-level descriptions, we build a user-friendly 3D object retrieval system... 详细信息
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Communication via eye blinks and eyebrow raises: Video-based human-computer interfaces
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Universal Access in the Information Society 2003年 第4期2卷 359-373页
作者: Grauman, K. Betke, M. Lombardi, J. Gips, J. Bradski, G.R. Vision Interface Group AI Laboratory Massachusetts Institute of Technology 77 Massachusetts Avenue CambridgeMA02139 United States Computer Science Department Boston University 111 Cummington St BostonMA02215 United States EagleEyes Computer Science Department Boston College Fulton Hall Chestnut HillMA02467 United States Vision Graphics and Pattern Recognition Microcomputer Research Laboratory Intel Corporation SC12-303 2200 Mission College Blvd Santa ClaraCA95054-1537 United States
Two video-based human-computer interaction tools are introduced that can activate a binary switch and issue a selection command. "BlinkLink," as the first tool is called, automatically detects a user's e... 详细信息
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Even big data is not enough: need for a novel reference modelling for forensic document authentication
Even big data is not enough: need for a novel reference mode...
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作者: Garain, Utpal Halder, Biswajit Computer Vision and Pattern Recognition Unit and Centre for Artificial Intelligence and Machine Learning Indian Statistical Institute 203 B. T. Road Kolkata700108 India Department of CSE Narula Institute of Technology Agarpara Kolkata700109 India
With the emergence of big data, deep learning (DL) approaches are becoming quite popular in many branches of science. Forensic science is no longer an exception. However, there are certain problems in forensic science... 详细信息
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Motion constraint patterns
Motion constraint patterns
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1993 IEEE Workshop on Qualitative vision, WQV 1993
作者: Fermüller, Cornelia Computer Vision Laboratory Center for Automation Research University of Maryland College ParkMD20742-3275 United States Department for Pattern Recognition and Image Processing Institute for Automation Technical University Vienna Treitlstraße 3 ViennaA-1040 Austria
The problem of egomotion recovery has been treated by using as input local image motion, with the published algorithms utilizing the geometric constraint relating 2-D local image motion (optical flow, correspondence, ... 详细信息
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CANDID: Robust change dynamics and deterministic update policy for dynamic background subtraction
arXiv
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arXiv 2018年
作者: Mandal, Murari Saxena, Prafulla Vipparthi, Santosh Kumar Murala, Subrahmanyam Department of Computer Science & Engineering MNIT Jaipur India Computer Vision and Pattern Recognition Lab Department of Electrical Engineering IIT Ropar India
Background subtraction in video provides the preliminary information which is essential for many computer vision applications. In this paper, we propose a sequence of approaches named CANDID to handle the change detec... 详细信息
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Compound attention embedded dual channel encoder-decoder for ms lesion segmentation from brain MRI
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Multimedia Tools and Applications 2024年 1-33页
作者: Ghosal, Palash Roy, Abhijit Agarwal, Rohit Purkayastha, Kunal Sharma, Aaditya Lochan Kumar, Amish Department of Information Technology Sikkim Manipal Institute of Technology Sikkim Manipal University Majhitar Sikkim Rangpo737136 India Department of Computer Science and Engineering National Institute of Technology West Bengal Durgapur713209 India Department of Computer Science and Engineering Sikkim Manipal Institute of Technology Sikkim Manipal University Majhitar Sikkim Rangpo737136 India Computer Vision and Pattern Recognition Unit Indian Statistical Institute West Bengal Kolkata700108 India
Multiple Sclerosis (MS) lesions’ segmentation is difficult due to their variegated sizes, shapes, and intensity levels. Besides this, the class imbalance problem and the availability of limited annotated data samples...
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One-Shot Learning-Based Handwritten Word recognition  5th
One-Shot Learning-Based Handwritten Word Recognition
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5th Asian Conference on pattern recognition, ACPR 2019
作者: Chakrapani Gv, Asish Chanda, Sukalpa Pal, Umapada Doermann, David Electronics and Communication Department Manipal University Jaipur Jaipur India Centre for Image Analysis Department of Information Technology Uppsala University Uppsala Sweden Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India University at Buffalo SUNY Buffalo United States
One-Shot and Few-shot Learning algorithms have emerged as techniques that can imitate a humans ability to learn from very few examples. This is an advantage over traditional deep networks which require a lot of traini... 详细信息
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