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Feature learning
Results: 920

#	Item
61	Synthetic Multi-label Data Streams Jesse Read, Bernhard Pfahringer, Geoff Holmes University of Waikato, Hamilton, New Zealand Feature Space Introduction Add to Reading List Source URL: jmread.github.io Language: English - Date: 2016-05-18 09:25:59 Machine learning Multi-label classification Concept drift Slashdot Artificial intelligence World Wide Web Learning
62	XU AND MORDOHAI: EXPRESSION RECOGNITION USING BAGS OF MOTION WORDS 1 Automatic Facial Expression Recognition using Bags of Motion Words Add to Reading List Source URL: www.cs.stevens.edu Language: English - Date: 2010-07-26 21:04:54 Computer vision Artificial intelligence Statistical classification Information science Feature detection Machine learning Image search Bag-of-words model in computer vision Support vector machine Optical flow Feature Visual Word
63	¨ ETH Zurich Computer Science Department Prof. Marc Pollefeys Prof. Luc Van Gool Add to Reading List Source URL: cvg.ethz.ch Language: English - Date: 2015-12-15 08:50:27 Artificial intelligence Statistics Machine learning Nonparametric statistics Statistical classification Feature detection Learning Histogram Naive Bayes classifier Outline of object recognition K-means clustering Bag-of-words model
64	Feature: Making The Shift From Community Engagement To Community Collaboration Districts often miss important opportunities to create dialogues with and seek insights from community members. But as questions around stude Add to Reading List Source URL: www.nmefoundation.org Language: English - Date: 2016-02-20 11:44:39 Education Euthenics Knowledge sharing Pedagogy Educational psychology Educational practices Education reform Youth Blended learning Student voice Competency-based learning Educational technology
65	Classiﬁcation, Regression, and Feature Selection on Matrix Data Sepp Hochreiter and Klaus Obermayer Department of Electrical Engineering and Computer Science Technische Universit¨at BerlinBerlin, Germany Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-04-30 01:33:38 Algebra Mathematics Linear algebra Abstract algebra Matrices Statistical classification Machine learning Support vector machine Matrix Test set Kernel method Kernel
66	IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 22, NO. 10, OCTOBERCodebook-Based Audio Feature Representation for Music Information Retrieval Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:25 Algebra Mathematics Information science Machine learning Vector quantization Dimension reduction Search algorithms Feature learning Code K-means clustering Lasso Principal component analysis
67	Combining Semantic and Geometric Features for Object Class Segmentation of Indoor Scenes Add to Reading List Source URL: www.ais.uni-bonn.de Language: English - Date: 2016-02-12 15:09:15 Computational neuroscience Artificial intelligence Vision Image segmentation Cybernetics Computer vision Convolutional neural network Feature detection Deep learning Thresholding Conference on Computer Vision and Pattern Recognition Artificial neural network
68	Published in Proc. of International Joint Conference on Neural Networks (IJCNNin Barcelona, Spain Topological Features in Locally Connected RBMs Andreas M¨uller, Hannes Schulz, and Sven Behnke Abstract— Unsupe Add to Reading List Source URL: amueller.github.io Language: English - Date: 2016-08-04 15:59:56 Artificial neural networks Artificial intelligence Computational neuroscience Cybernetics Applied mathematics Machine learning Formal sciences Deep learning Convolutional neural network Feature learning Restricted Boltzmann machine Boltzmann machine
69	TEM Journal–151 Predicting Bidding Price in Construction using Support Vector Machine Silvana Petruseva 1, Phil Sherrod 2, Valentina Zileska Pancovska 1, Aleksandar Petrovski 3 Add to Reading List Source URL: www.temjournal.com Language: English - Date: 2016-06-03 09:19:27 Statistics Machine learning Applied mathematics Statistical classification Computational neuroscience Computational statistics Estimation theory Artificial neural networks Support vector machine Regression analysis Perceptron Feature selection
70	The rise of automatic feature-generation techniques, including deep learning, has the potential to greatly enlarge the pool of machinelearning users. Such methods require large labeled training sets to obtain high-qualit Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Education Educational psychology Technology Computational neuroscience Formal sciences Science and technology Distance education Educational technology Information technology Deep learning Artificial intelligence

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