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Caltech 101
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#	Item
71	Large-Scale Category Structure Aware Image Categorization Bin Zhao School of Computer Science Carnegie Mellon University Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-09-22 18:18:48 Semantics California Institute of Technology Caltech 101 One-shot learning Semantic similarity Support vector machine Prototype theory K-nearest neighbor algorithm Statistics Artificial intelligence Statistical classification
72	Grouplet: A Structured Image Representation for Recognizing Human and Object Interactions Bangpeng Yao Li Fei-Fei Computer Science Department, Stanford University, USA {bangpeng,feifeili}@cs.stanford.edu Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-09-22 18:30:00 Imaging Caltech 101 Feature selection Object recognition Pose K-nearest neighbor algorithm Computer vision Artificial intelligence Vision
73	Int J Comput Vis DOI[removed]s11263[removed]OPTIMOL: Automatic Online Picture Collection via Incremental Model Learning Li-Jia Li · Li Fei-Fei Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-09-22 18:53:30 Machine learning Computer vision California Institute of Technology Caltech 101 Image processing Constellation model Segmentation Object recognition Latent Dirichlet allocation Artificial intelligence Vision Imaging
74	Max-Margin Additive Classifiers for Detection Subhransu Maji U.C. Berkeley, EECS Alexander C. Berg Columbia University, CS Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2009-07-17 16:11:10 Statistical classification Machine learning Support vector machines Linear classifier Caltech 101 Kernel methods Vector space Least squares support vector machine Statistics Algebra Mathematics
75	Unsupervised Feature Learning by Deep Sparse Coding arXiv:1312.5783v1 [cs.LG] 20 Dec[removed]Yunlong He∗ Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-12-22 20:35:04 Cybernetics Learning Machine learning Sparse coding Matching pursuit Applied mathematics Artificial intelligence Caltech 101 Statistics Multivariate statistics Signal processing
76	Acquiring Visual Classifiers from Human Imagination arXiv:1410.4627v1 [cs.CV] 17 Oct 2014 Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba Massachusetts Institute of Technology Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-10-19 20:28:33 Machine learning Parts of speech Classifier Caltech 101 Support vector machine One-shot learning Linear classifier Boosting methods for object categorization Statistics Statistical classification Artificial intelligence
77	CPPP/UFMS at ImageCLEF 2014: Robot Vision Task Rodrigo de Carvalho Gomes, Lucas Correia Ribas, Amaury Antˆonio de Castro Junior, Wesley Nunes Gon¸calves Federal University of Mato Grosso do Sul - Ponta Por˜ a Campus Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2014-07-24 09:25:42 Optics Object recognition Pose K-means clustering Caltech 101 Scale-invariant feature transform Computer vision Vision Imaging
78	Optimized optomechanical crystal cavity with acoustic radiation shield Jasper Chan, Amir H. Safavi-Naeini, Jeff T. Hill, Seán Meenehan, and Oskar Painter Citation: Appl. Phys. Lett. 101, [removed]); doi: [removed] Add to Reading List Source URL: copilot.caltech.edu Language: English - Date: 2012-10-09 10:48:24 Laser science Quantum optics Acronyms Laser Phonon Optomechanics Optical cavity Anthony E. Siegman Optics Physics Photonics
79	Human Action Recognition from a Single Clip per Action Weilong Yang, Yang Wang, and Greg Mori School of Computing Science Simon Fraser University Burnaby, BC, Canada [removed], [removed], [removed] Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2009-08-31 14:57:43 One-shot learning Activity recognition Histogram of oriented gradients Supervised learning Object recognition Royal Institute of Technology K-nearest neighbor algorithm Caltech 101 Artificial intelligence Machine learning Computer vision
80	Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification Andrea Frome EECS, UC Berkeley Yoram Singer Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:00 Computer vision Image processing Machine learning California Institute of Technology Caltech 101 K-nearest neighbor algorithm Object recognition Support vector machine Feature Algebra Artificial intelligence Mathematics

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