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One-shot learning
Results: 130

#	Item
11	Robust Single-View Instance Recognition David Held, Sebastian Thrun, Silvio Savarese Abstract— Some robots must repeatedly interact with a fixed set of objects in their environment. To operate correctly, it is helpful Add to Reading List Source URL: cvgl.stanford.edu Language: English - Date: 2016-04-30 19:03:42 Artificial intelligence Computational neuroscience Vision Cybernetics Artificial neural networks Computer vision Convolutional neural network Deep learning Outline of object recognition One-shot learning ImageNet Cross-validation
12	Exploring "forgo-en" one-‐shot learning Aleksander Kołcz Twi-er, Inc. MoAvaAon Add to Reading List Source URL: mmds-data.org Language: English - Date: 2014-06-20 19:32:56 Parallel computing Distributed computing architecture MapReduce Sampling Algorithm
13	Psychological Review 2013, Vol. 120, No. 4, 817– 851 © 2013 American Psychological Association 0033-295X/13/$12.00 DOI: a0034194 Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2013-12-05 18:36:48 Machine learning Statistics Cybernetics Learning Image segmentation Feature learning Bayesian inference Cognition One-shot learning Concept learning
14	What, Where and Who? Telling the Story of an Image by Activity Classiﬁcation, Scene Recognition and Object Categorization Li Fei-Fei and Li-Jia Li Abstract We live in a richly visual world. More than one third of the Add to Reading List Source URL: vision.stanford.edu Language: English Outline of object recognition Image segmentation Mental image Cognitive science Cognition One-shot learning
15	Objects as Attributes for Scene Classification Li-Jia Li, Hao Su, Yongwhan Lim, Li Fei-Fei Computer Science Department, Stanford University Abstract. Robust low-level image features have proven to be effective represen Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2010-07-14 19:17:56 Computer vision Artificial intelligence Vision ImageNet Outline of object recognition LabelMe One-shot learning Cognitive neuroscience of visual object recognition
16	Learning to Recognize Novel Objects in One Shot through Human-Robot Interactions in Natural Language Dialogues Michael Zillich Evan Krause Add to Reading List Source URL: hrilab.tufts.edu Language: English - Date: 2014-05-05 14:38:39
17	Efficiently Combining Contour and Texture Cues for Object Recognition Jamie Shotton† Andrew Blake† Roberto Cipolla∗ † Microsoft Research Cambridge Add to Reading List Source URL: jamie.shotton.org Language: English - Date: 2013-04-10 20:14:40 Image segmentation One-shot learning Boosting Caltech 101 Conference on Computer Vision and Pattern Recognition Outline of object recognition Constellation model Longuet-Higgins Prize
18	Write a Classifier: Zero-Shot Learning Using Purely Textual Descriptions Mohamed Elhoseiny Babak Saleh Ahmed Elgammal Department of Computer Science, Rutgers University, New Brunswick, NJ [m.elhoseiny,babaks,elgammal]@cs Add to Reading List Source URL: paul.rutgers.edu Language: English - Date: 2014-12-01 03:20:00 Statistical classification Artificial intelligence Learning Machine learning Cognition One-shot learning Linear classifier Support vector machine Classifier Multi-label classification
19	Articulated Motion Discovery using Pairs of Trajectories Luca Del Pero1 1 Susanna Ricco2 Add to Reading List Source URL: www.cv-foundation.org Language: English - Date: 2015-05-25 21:19:04 Vision Imaging Image processing Histogram of oriented gradients Kinematics Segmentation Trajectory One-shot learning Range of a projectile Physics Ballistics Computer vision
20	A Hierarchical Field Framework for Unified Context-Based Classification Sanjiv Kumar and Martial Hebert The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213, USA, {skumar, hebert}@ri.cmu.edu Abstract Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2010-06-01 18:50:20 Vision Imaging Bayesian statistics Object recognition Segmentation Maximum likelihood Finitary relation Bayesian network One-shot learning Computer vision Image processing Statistics