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检索条件"任意字段=26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2013"
656 条 记 录,以下是181-190 订阅
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Exploring Compositional High Order pattern Potentials for Structured Output Learning
Exploring Compositional High Order Pattern Potentials for St...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Li, Yujia Tarlow, Daniel Zemel, Richard Univ Toronto Toronto ON M5S 3G4 Canada
When modeling structured outputs such as image segmentations, prediction can be improved by accurately modeling structure present in the labels. A key challenge is developing tractable models that are able to capture ... 详细信息
来源: 评论
Supervised Kernel Descriptors for Visual recognition
Supervised Kernel Descriptors for Visual Recognition
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Wang, Peng Wang, Jingdong Zeng, Gang Xu, Weiwei Zha, Hongbin Li, Shipeng Peking Univ Beijing Peoples R China Microsoft Res Asia Beijing Peoples R China Hangzhou Normal Univ Hangzhou Zhejiang Peoples R China
In visual recognition tasks, the design of low level image feature representation is fundamental. the advent of local patch features from pixel attributes such as SIFT and LBP, has precipitated dramatic progresses. Re... 详细信息
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Fixation and Saccade based Face recognition from Single Image per Person with Various Occlusions and Expressions
Fixation and Saccade based Face Recognition from Single Imag...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Wei, Xingjie Li, Chang-Tsun Univ Warwick Dept Comp Sci Coventry CV4 7AL W Midlands England
Face recognition technique is widely used in the real-world applications over the past decade. Different from other biometric traits such as fingerprint and iris, face is the biological nature for humans to recognise ... 详细信息
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Kernel Null Space Methods for Novelty Detection
Kernel Null Space Methods for Novelty Detection
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Bodesheim, Paul Freytag, Alexander Rodner, Erik Kemmler, Michael Denzler, Joachim Univ Jena Comp Vis Grp D-07743 Jena Germany
Detecting samples from previously unknown classes is a crucial task in object recognition, especially when dealing with real-world applications where the closed-world assumption does not hold. We present how to apply ... 详细信息
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Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines
Weakly Supervised Learning of Mid-Level Features with Beta-B...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Mittelman, Roni Lee, Honglak Kuipers, Benjamin Savarese, Silvio Univ Michigan Dept Elect Engn & Comp Sci Ann Arbor MI 48109 USA
the use of semantic attributes in computer vision problems has been gaining increased popularity in recent years. Attributes provide an intermediate feature representation in between low-level features and the class c... 详细信息
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Anti-spoofing in action: joint operation with a verification system
Anti-spoofing in action: joint operation with a verification...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Chingovska, Ivana Anjos, Andre Marcel, Sebastien Idiap Res Inst CH-1920 Martigny Switzerland
Besides the recognition task, today's biometric systems need to cope with additional problem: spoofing attacks. Up to date, academic research considers spoofing as a binary classification problem: systems are trai... 详细信息
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Non-Rigid Structure from Motion with Diffusion Maps Prior
Non-Rigid Structure from Motion with Diffusion Maps Prior
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Tao, Lili Matuszewski, Bogdan J. Univ Cent Lancashire Appl Digital Signal & Image Proc Res Ctr Preston PR1 2HE Lancs England
In this paper, a novel approach based on a non-linear manifold learning technique is proposed to recover 3D non-rigid structures from 2D image sequences captured by a single camera. Most of the existing approaches ass... 详细信息
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Collective Activity Detection using Hinge-loss Markov Random Fields
Collective Activity Detection using Hinge-loss Markov Random...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: London, Ben Khamis, Sameh Bach, Stephen H. Huang, Bert Getoor, Lise Davis, Larry Univ Maryland College Pk MD 20742 USA
We propose hinge-loss Markov random fields (HL-MRFs), a powerful class of continuous-valued graphical models, for high-level computer vision tasks. HL-MRFs are characterized by log-concave density functions, and are a... 详细信息
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Gauging Association patterns of Chromosome Territories via Chromatic Median
Gauging Association Patterns of Chromosome Territories via C...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Ding, Hu Stojkovic, Branislav Berezney, Ronald Xu, Jinhui SUNY Buffalo Dept Comp Sci & Engn Buffalo NY 14260 USA SUNY Buffalo Dept Biol Sci Buffalo NY 14260 USA
Computing accurate and robust organizational patterns of chromosome territories inside the cell nucleus is critical for understanding several fundamental genomic processes, such as co-regulation of gene activation, ge... 详细信息
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Fusing Spatiotemporal Features and Joints for 3D Action recognition
Fusing Spatiotemporal Features and Joints for 3D Action Reco...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Zhu, Yu Chen, Wenbin Guo, Guodong W Virginia Univ Dept CSEE Morgantown WV 26506 USA
We present a novel approach to 3D human action recognition based on a feature-level fusion of spatiotemporal features and skeleton joints. First, 3D interest points detection and local feature description are performe... 详细信息
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