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Andrew Zisserman
Results: 19

#	Item
11	Efficient Additive Kernels via Explicit Feature Maps Andrea Vedaldi Andrew Zisserman Dept. of Engineering Science, University of Oxford, UK {vedaldi,az}@robots.ox.ac.uk Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2010-04-06 12:22:34 Operator theory Hilbert space Statistical classification Group theory Vector space Positive-definite kernel Kernel Support vector machine Algebra Mathematics Linear algebra
12	CVPR14 PAMI-TC AWARDS TC AWARD PROCESS • Overseen by the PAMI-TC Awards Committee • David Forsyth, Bill Freeman, Richard Hartley, Jitendra Malik, Cordelia Schmid, Andrew Zisserman Add to Reading List Source URL: www.pamitc.org Language: English - Date: 2014-06-28 11:08:08 Cordelia Forsyth Jitendra Malik Bill Freeman PAMI Science Electronic engineering Government Fellows of the Royal Society Longuet-Higgins Prize Andrew Zisserman
13	Oxford TRECVid 2007 – Notebook paper James Philbin, Ondˇrej Chum, Josef Sivic, Vittorio Ferrari, Manuel Marin, Anna Bosch, Nicholas Apostolof and Andrew Zisserman Department of Engineering Science University of Oxford Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2007-11-28 11:16:54 Object recognition Histogram of oriented gradients Face detection Visual search Shot transition detection Image retrieval Information retrieval Segmentation Bag of words model in computer vision Computer vision Image processing Image search
14	Oxford/IIIT TRECVID 2008 – Notebook paper James Philbin, Manuel Marin-Jimenez, Siddharth Srinivasan and Andrew Zisserman Visual Geometry Group, Department of Engineering Science, University of Oxford, United Kingdom Mi Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2008-12-03 08:54:05 Vision Image processing Statistical classification Histogram of oriented gradients Ensemble learning Machine learning Object recognition Segmentation Random forest Computer vision Statistics Artificial intelligence
15	Oxford TRECVID 2006 – Notebook paper James Philbin, Anna Bosch, Ondˇrej Chum, Jan-Mark Geusebroek, Josef Sivic and Andrew Zisserman Department of Engineering Science University of Oxford United Kingdom Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2006-12-07 11:18:16 Face recognition Image processing Image search Face detection Support vector machine Visual search Image retrieval Facial recognition system Key frame Computer vision Vision Imaging
16	Assessing the Significance of Performance Differences on the PASCAL VOC Challenges via Bootstrapping Mark Everingham, S. M. Ali Eslami, Luc Van Gool, Christopher K. I. Williams, John Winn, Andrew Zisserman October 18, 2 Add to Reading List Source URL: pascallin.ecs.soton.ac.uk Language: English - Date: 2013-11-26 05:57:51 Year of birth missing Segmentation Object recognition Bootstrapping Object detection XPL Computer vision Image processing Andrew Zisserman
17	Department of Engineering Science Parks Road, Oxford OX1 3PJ B [removed] Í http://tomas.pfister.fi Tomas Pfister Add to Reading List Source URL: tomas.pfister.fi Language: English - Date: 2013-11-24 03:41:51 Software engineering Human–computer interaction Software engineer Computing Affective computing Science Artificial intelligence International Conference on Computer Vision Andrew Zisserman Computer science
18	Video Google: A Text Retrieval Approach to Object Matching in Videos Josef Sivic and Andrew Zisserman Robotics Research Group, Department of Engineering Science Add to Reading List Source URL: www.robots.ox.ac.uk Language: English - Date: 2003-09-14 15:21:24 Science Artificial intelligence 3D single object recognition Maximally stable extremal regions Visual descriptors Image retrieval Tf*idf Latent semantic indexing Recall Information science Computer vision Information retrieval
19	Video Data Mining Using Configurations of Viewpoint Invariant Regions Josef Sivic and Andrew Zisserman Robotics Research Group, Department of Engineering Science Add to Reading List Source URL: www.robots.ox.ac.uk Language: English - Date: 2004-05-26 17:38:00 Vision Image processing Maximally stable extremal regions Cluster analysis Segmentation Visual descriptors Object recognition Key frame Neighbourhood Computer vision Statistics Imaging

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