Object recognition

Results: 1078



#Item
891Computer vision / Statistical classification / Linear classifier / Caltech 101 / Pattern recognition / Supervised learning / Support vector machine / Yann LeCun / Unsupervised learning / Machine learning / Statistics / Artificial intelligence

What is the Best Multi-Stage Architecture for Object Recognition? Kevin Jarrett, Koray Kavukcuoglu, Marc’Aurelio Ranzato and Yann LeCun The Courant Institute of Mathematical Sciences New York University, 715 Broadway,

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Source URL: yann.lecun.com

Language: English - Date: 2009-08-05 19:17:47
892Internet search engines / Pattern recognition / Image retrieval / Labeling theory / Object recognition / Bing / Label / World Wide Web / Graphics Interchange Format / Computer vision / ESP game / Image search

Labeling Images with a Computer Game Luis von Ahn and Laura Dabbish School of Computer Science Carnegie Mellon University Pittsburgh, PA, USA {biglou,dabbish}@cs.cmu.edu

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Source URL: www.cs.cmu.edu

Language: English - Date: 2004-01-12 16:29:24
893Object recognition / Segmentation / Optics / Computer vision / Vision / Imaging

Modeling Images using Transformed Indian Buffet Processes Yuening Hu† Ke Zhai † Department of Computer Science, University of Maryland, College Park, MD USA

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Source URL: icml.cc

Language: English - Date: 2012-06-07 13:20:30
894Imaging / Vision / Segmentation / Watershed / Linear classifier / Object recognition / Pattern recognition / Yann LeCun / Artificial intelligence / Image processing / Computer vision

Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Clément Farabet 1,2 CFARABET @ CS . NYU . EDU Camille Couprie 1

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Source URL: icml.cc

Language: English - Date: 2012-06-07 13:20:08
895Vision / Optics / Segmentation / Object recognition / Linear classifier / Watershed / Image gradient / Contextual image classification / Image processing / Computer vision / Imaging

Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Clément Farabet1,2 Camille Couprie1

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Source URL: arxiv.org

Language: English - Date: 2012-02-12 20:13:30
896Object detection / Surveillance / IEEE Transactions on Pattern Analysis and Machine Intelligence / Institute of Electrical and Electronics Engineers / Segmentation / Machine learning / Conference on Computer Vision and Pattern Recognition / Image retrieval / Longuet-Higgins Prize / Computer vision / Image processing / Image search

Machine Learning for Visual Scene Understanding Image Retrieval Machines that understand images of natural scenes are a long-lasting dream of artificial intelligence research. Today, it is a driving force for research on

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Source URL: www.is.tuebingen.mpg.de

Language: English - Date: 2012-12-21 09:36:20
897Imaging / Gesture recognition / Object recognition / 3D single object recognition / Pose / Robot / Humanoid robot / Human–robot interaction / Domestic robot / Vision / Computer vision / Artificial intelligence

Appearance-based Object Reacquisition for Mobile Manipulation Matthew R. Walter MIT CS & AI Lab (CSAIL) Cambridge, MA, USA Yuli Friedman, Matthew Antone

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Source URL: people.csail.mit.edu

Language: English - Date: 2010-06-30 20:13:41
898Face recognition / Actuarial science / Regression analysis / Random forest / Face detection / Object recognition / Statistics / Artificial intelligence / Econometrics

Real-time Facial Feature Detection using Conditional Regression Forests Matthias Dantone1 1 ETH Zurich, Switzerland Juergen Gall1,2

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Source URL: www.vision.ee.ethz.ch

Language: English - Date: 2012-04-07 04:23:45
899Gesture recognition / Segmentation / 3D scanner / Motion capture / Object recognition / 3D pose estimation / Computer vision / Vision / Imaging

Tracking a Hand Manipulating an Object Henning Hamer1 1 Konrad Schindler2

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Source URL: www.3dcoform.eu

Language: English - Date: 2010-03-08 05:43:21
900Object recognition / Pose / Video tracking / Robotics / Segmentation / Robot / Scale-invariant feature transform / 3D single object recognition / Computer vision / Vision / Imaging

Vision-based Reacquisition for Task-level Control Matthew R. Walter, Yuli Friedman, Matthew Antone, and Seth Teller Abstract We describe a vision-based algorithm that enables a robot to “reacquire” objects previously

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Source URL: people.csail.mit.edu

Language: English - Date: 2011-02-01 14:38:48
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