Feature recognition

Results: 683



#Item
341Imaging / Geometric hashing / Video copy detection / Triangle / Information retrieval / Feature / Object recognition / Recall / Encoding / Computer vision / Vision / Artificial intelligence

Technical Report[removed], University of Augsburg, Institute of Computer Science, March[removed]Published in Proceedings of “ACM International Conference on Multimedia Retrieval”, 2011. DOI : [removed][removed]Mul

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Source URL: www.multimedia-computing.de

Language: English - Date: 2013-08-21 09:20:02
342Mind / One-shot learning / Support vector machine / Perceptual learning / Cross-validation / Machine learning / Statistics / Learning / Artificial intelligence

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue∗ Yangqing Jia∗ Oriol Vinyals

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2014-11-25 23:03:53
343Vision / Optics / Scale-invariant feature transform / Scale space / Object recognition / Feature detection / Gaussian function / Corner detection / Scale invariance / Computer vision / Image processing / Imaging

Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe Computer Science Department University of British Columbia Vancouver, B.C., Canada

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2004-02-20 21:10:40
344Memory segmentation / Market segmentation / Minimum bounding box / Feature extraction / Dimension / Geometry / Mathematics / Image processing / Computer vision / Segmentation

Object Recognition as Ranking Holistic Figure-Ground Hypotheses Fuxin Li∗ and Joao Carreira∗ and Cristian Sminchisescu Computer Vision and Machine Learning Group, Institute for Numerical Simulation, Faculty of Mathem

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Source URL: www.eecs.berkeley.edu

Language: English - Date: 2014-06-04 23:24:54
345Statistics / Vision / Object recognition / Histogram of oriented gradients / Transparency and translucency / Latent Dirichlet allocation / Probabilistic latent semantic analysis / Transparency / Topic model / Statistical natural language processing / Artificial intelligence / Computer vision

An Additive Latent Feature Model for Transparent Object Recognition Mario Fritz UC Berkeley Gary Bradski Willow Garage

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Source URL: sergeykarayev.com

Language: English - Date: 2015-01-07 04:16:21
346Artificial intelligence / Optics / Segmentation / Shape context / Object recognition / K-nearest neighbor algorithm / Typeface / Feature / Computer vision / Image processing / Vision

Large-Scale Visual Font Recognition Guang Chen∗ Jianchao Yang† Hailin Jin† Jonathan Brandt† Eli Shechtman† Aseem Agarwala† Tony X. Han∗ † ∗ Adobe Research

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Source URL: www.ifp.illinois.edu

Language: English - Date: 2014-04-26 18:56:39
347Statistics / Binary trees / Object recognition / Pattern recognition / Tree / Statistical classification / Feature selection / Phylogenetic tree / T-tree / Machine learning / Artificial intelligence / Computer vision

1300 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 19, NO. 11, NOVEMBER 1997 Joint Induction of Shape Features and Tree Classifiers

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2004-02-15 19:43:01
348Object recognition / K-nearest neighbor algorithm / Face detection / Pose / Optical flow / Scale-invariant feature transform / Computer vision / Artificial intelligence / Vision

Do Convnets Learn Correspondence? Jonathan Long Ning Zhang Trevor Darrell University of California – Berkeley

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2014-11-18 21:10:51
349Imaging / Pose / 3D pose estimation / Object recognition / Histogram of oriented gradients / Shape context / Scale-invariant feature transform / Computer vision / Vision / Artificial intelligence

MONOCULAR 3D HUMAN POSE ESTIMATION BY CLASSIFICATION Thomas Greif, Rainer Lienhart Debabrata Sengupta Multimedia Computing Lab

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Source URL: www.multimedia-computing.de

Language: English - Date: 2011-06-17 18:09:04
350Vision / Optics / Scale-invariant feature transform / Scale space / Object recognition / Feature detection / Gaussian function / Corner detection / Scale invariance / Computer vision / Image processing / Imaging

Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe Computer Science Department University of British Columbia Vancouver, B.C., Canada

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Source URL: www.eecs.berkeley.edu

Language: English - Date: 2006-02-01 17:05:02
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