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检索条件"任意字段=26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR"
1569 条 记 录,以下是131-140 订阅
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Harry Potter's Marauder's Map: Localizing and Tracking Multiple Persons-of-Interest by Nonnegative Discretization
Harry Potter's Marauder's Map: Localizing and Tracking Multi...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Yu, Shoou-, I Yang, Yi Hauptmann, Alexander Carnegie Mellon Univ 5000 Forbes Ave Pittsburgh PA 15213 USA
A device just like Harry Potter's Marauder's Map, which pinpoints the location of each person-of-interest at all times, provides invaluable information for analysis of surveillance videos. To make this device ... 详细信息
来源: 评论
A Fast Approximate AIB Algorithm for Distributional Word Clustering
A Fast Approximate AIB Algorithm for Distributional Word Clu...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Wang, Lei Zhang, Jianjia Zhou, Luping Li, Wanqing Univ Wollongong Sch Comp Sci & Software Engn Wollongong NSW 2522 Australia
Distributional word clustering merges the words having similar probability distributions to attain reliable parameter estimation, compact classification models and even better classification performance. Agglomerative... 详细信息
来源: 评论
MKPLS: Manifold Kernel Partial Least Squares for Lipreading and Speaker Identification
MKPLS: Manifold Kernel Partial Least Squares for Lipreading ...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Bakry, Amr Elgammal, Ahmed Rutgers State Univ Dept Comp Sci Piscataway NJ 08854 USA
Visual speech recognition is a challenging problem, due to confusion between visual speech features. the speaker identification problem is usually coupled with speech recognition. Moreover, speaker identification is i... 详细信息
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Designing Category-Level Attributes for Discriminative Visual recognition
Designing Category-Level Attributes for Discriminative Visua...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Yu, Felix X. Cao, Liangliang Feris, Rogerio S. Smith, John R. Chang, Shih-Fu Columbia Univ New York NY 10027 USA IBM Corp Thomas J Watson Res Ctr Yorktown Hts NY 10598 USA
Attribute-based representation has shown great promises for visual recognition due to its intuitive interpretation and cross-category generalization property. However, human efforts are usually involved in the attribu... 详细信息
来源: 评论
Saliency Aggregation: A Data-driven Approach
Saliency Aggregation: A Data-driven Approach
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Mai, Long Niu, Yuzhen Liu, Feng Portland State Univ Dept Comp Sci Portland OR 97207 USA
A variety of methods have been developed for visual saliency analysis. these methods often complement each other. this paper addresses the problem of aggregating various saliency analysis methods such that the aggrega... 详细信息
来源: 评论
Unsupervised Joint Object Discovery and Segmentation in Internet Images
Unsupervised Joint Object Discovery and Segmentation in Inte...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Rubinstein, Michael Joulin, Armand Kopf, Johannes Liu, Ce MIT CSAIL Cambridge MA 02139 USA INRIA Paris France Microsoft Res Beijing Peoples R China
We present a new unsupervised algorithm to discover and segment out common objects from large and diverse image collections. In contrast to previous co-segmentation methods, our algorithm performs well even in the pre... 详细信息
来源: 评论
Fast Trust Region for Segmentation
Fast Trust Region for Segmentation
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Gorelick, Lena Schmidt, Frank R. Boykov, Yuri Univ Western Ontario Comp Vis Grp London ON N6A 3K7 Canada Univ Freiburg BIOSS Ctr Biol Signalling Studies Freiburg Germany
Trust region is a well-known general iterative approach to optimization which offers many advantages over standard gradient descent techniques. In particular, it allows more accurate nonlinear approximation models. In... 详细信息
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From N to N+1: Multiclass Transfer Incremental Learning
From N to N+1: Multiclass Transfer Incremental Learning
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Kuzborskij, Ilja Orabona, Francesco Caputo, Barbara Idiap Res Inst Martigny Switzerland Ecole Polytech Fed Lausanne Lausanne Switzerland Toyota Technol Inst Chicago IL USA
Since the seminal work of thrun [17], the learning to learn paradigm has been defined as the ability of an agent to improve its performance at each task with experience, with the number of tasks. Within the object cat... 详细信息
来源: 评论
Histogram of Weighted Local Directions for Gait recognition
Histogram of Weighted Local Directions for Gait Recognition
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Sivapalan, Sabesan Chen, Daniel Denman, Simon Sridharan, Sridha Fookes, Clinton Queensland Univ Technol Image & Video Res Lab Brisbane Qld 4001 Australia
In this paper, we explore the effectiveness of patch-based gradient feature extraction methods when applied to appearance-based gait recognition. Extending existing popular feature extraction methods such as HOG and L... 详细信息
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Scalable Sparse Subspace Clustering
Scalable Sparse Subspace Clustering
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Peng, Xi Zhang, Lei Yi, Zhang Sichuan Univ Coll Comp Sci Machine Intelligence Lab Chengdu 610065 Peoples R China
In this paper, we address two problems in Sparse Sub-space Clustering algorithm (SSC), i.e., scalability issue and out-of-sample problem. SSC constructs a sparse similarity graph for spectral clustering by using l(1)-... 详细信息
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