Nonlinear Learning using Local Coordinate Coding

Keywords

Nonlinear dimensionality reduction, Nonlinear system, Locality, Coding (social sciences), Computer science

References

• Local Regression: Automatic Kernel CarpentryTrevor Hastie, Clive Loader — 1993
• A global geometric framework for nonlinear dimensionality reduction.Joshua B. Tenenbaum, Vin de Silva, John Langford — 2000
• Nonlinear dimensionality reduction by locally linear embedding.Sam T. Roweis, Lawrence K. Saul — 2000
• Local Learning AlgorithmsLéon Bottou, Vladimir Vapnik — 1992
• Laplacian Eigenmaps for Dimensionality Reduction and Data RepresentationMikhail Belkin, Partha Niyogi — 2003
• Sparse Feature Learning for Deep Belief NetworksMarc’Aurelio Ranzato, Y-Lan Boureau, Y. Le Cun — 2007
• Self-taught learning: transfer learning from unlabeled dataRajat Raina, Alexis Battle, Honglak Lee — 2007
• Supervised Dictionary LearningJulien Mairal, Francis R. Bach, Jean Ponce — 2008
• Consistency and LocalizabilityAlon Zakai, Ya’acov Ritov — 2009
• Supervised Dictionary LearningJulien Mairal, Francis Bach, Jean Ponce — 2008
• Reducing the Dimensionality of Data with Neural NetworksGeoffrey E. Hinton, Ruslan Salakhutdinov — 2006
• Efficient sparse coding algorithmsHonglak Lee, Alexis Battle, Rajat Raina — 2006
• This PDF file includes: Materials and Methods2009

Cited by

• Sparsity-Based Generalization Bounds for Predictive Sparse CodingNishant A. Mehta, Alexander Gray — 2013
• Face Super-Resolution via Multilayer Locality-Constrained Iterative Neighbor Embedding and Intermediate Dictionary LearningJunjun Jiang, Ruimin Hu, Zhongyuan Wang — 2014
• Self-Similarity Constrained Sparse Representation for Hyperspectral Image Super-ResolutionR.W.A. Hutjes — 2018
• Towards large-scale multimedia retrieval enriched by knowledge about human interpretationKimiaki Shirahama, Marcin Grzegorzek — 2014
• Kernel Coding: General Formulation and Special CasesMehrtash Harandi, Mathieu Salzmann — 2014
• Unsupervised Feature Learning and Deep Learning: A Review and New PerspectivesYoshua Bengio, Aaron Courville, Pascal Vincent — 2012
• Locality-Constrained Concept FactorizationXuelong Li, Yang Zheng, Zhaohui Wu — 2011
• Learning Invariant Color Features for Person ReidentificationRahul Rama Varior, Gang Wang, Jiwen Lu — 2014
• Higher-order Occurrence Pooling on Mid- and Low-level Features: Visual Concept DetectionPiotr Koniusz, Fei Yan, Philippe-Henri Gosselin — 2013
• Large-scale interactive exploratory visual searchShiyang Lu — 2014
• Nuclei/Cell Detection in Microscopic Skeletal Muscle Fiber Images and Histopathological Brain Tumor Images Using Sparse OptimizationsHai Su — 2014
• Extended Bag-Of-Words Formalism For Image ClassificationSandra Avila — 2013
• Handwritten digit recognition using biologically inspired featuresÂngelo Cardoso, Andreas Wichert — 2013
• Learning Hierarchical Feature Extractors For Image RecognitionBoureau, Y-Lan — 2012
• Penalized collaborative representation based classification for face recognitionWei Huang, Xiaohui Wang, Zhong Jin — 2015
• Large scale support vector machines algorithms for visual classificationThanh-Nghi Doan — 2013
• Learning Deep Visual RepresentationsHanlin Goh — 2013
• Handling imperfections for multimodal image annotation. (Gestion des imperfections pour l'annotation multimodale d'images)Amel Znaidia, PARAGIOS, Nikos — 2014
• Scattering Representations for RecognitionJoan Bruna — 2013
• A New Image Retrieval Algorithm Based on Sparse CodingRuitang Wang, Guo Hua Peng, Haixia Zheng — 2015

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