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Feature learning
Results: 920

#	Item
1	A human motion feature based on semi-supervised learning of GMM Add to Reading List Source URL: eprints.bournemouth.ac.uk Language: English - Date: 2017-03-20 11:33:46
2	Machine Learning accepted manuscript: DOIs10994Generating Feature Spaces for Linear Algorithms with Regularized Sparse Kernel Slow Feature Analysis Wendelin B¨ ohmer · Steffen Gr¨ Add to Reading List Source URL: hannes.nickisch.org Language: English - Date: 2017-03-08 05:28:05
3	Evolutionary Random Neural Ensembles Based on Negative Correlation Learning Huanhuan Chen and Xin Yao Abstract— This paper proposes to incorporate bootstrap of data, random feature subspace and evolutionary algorithm w Add to Reading List Source URL: staff.ustc.edu.cn Language: English - Date: 2014-04-11 09:32:07
4	13th International Society for Music Information Retrieval Conference (ISMIRMOVING BEYOND FEATURE DESIGN: DEEP ARCHITECTURES AND AUTOMATIC FEATURE LEARNING IN MUSIC INFORMATICS Eric J. Humphrey, Juan Pablo Bello Add to Reading List Source URL: yann.lecun.com Language: English - Date: 2013-03-15 09:57:20
5	Feature Hashing for Large Scale Multitask Learning Kilian Weinberger Anirban Dasgupta John Langford Alex Smola Add to Reading List Source URL: alex.smola.org Language: English - Date: 2013-09-09 02:03:31
6	Stat 928: Statistical Learning Theory Lecture: 8 Feature Selection in the Non-Orthogonal Case Instructor: Sham Kakade Add to Reading List Source URL: stat.wharton.upenn.edu Language: English - Date: 2011-04-12 12:45:49
7	Feature Extraction and Image Processing for Object Detection Shrey Gupta Applied Machine Learning (HOUSECS 59-01), Duke University November 14, 2018 Add to Reading List Source URL: shreygupta.me Language: English - Date: 2018-07-30 14:23:55
8	Pedestrian Detection with Unsupervised Multi-Stage Feature Learning Pierre Sermanet Koray Kavukcuoglu Soumith Chintala Add to Reading List Source URL: soumith.ch Language: English - Date: 2017-07-06 15:04:07
9	Reading Digits in Natural Images with Unsupervised Feature Learning Yuval Netzer1 , Tao Wang2 , Adam Coates2 , Alessandro Bissacco1 , Bo Wu1 , Andrew Y. Ng1,2 {yuvaln,bissacco,bowu}@google.com {twangcat,acoates,ang}@cs.s Add to Reading List Source URL: ufldl.stanford.edu - Date: 2011-12-05 15:20:10
10	H IERARCHICAL COMPOSITIONAL FEATURE LEARNING Miguel L´azaro-Gredilla, Yi Liu, D. Scott Phoenix, Dileep George Vicarious California USA {miguel,yiliu,scott,dileep}@vicarious.com Add to Reading List Source URL: arxiv.org - Date: 2017-10-26 20:13:49

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