Dimension reduction

Results: 532



#Item
331Cluster analysis / Data mining / Geostatistics / Projection / Dimension reduction / Clustering high-dimensional data / SUBCLU / Statistics / Machine learning / Multivariate statistics

Less is More: Non-Redundant Subspace Clustering Ira Assent ◦ ◦ Emmanuel Müller •

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Source URL: eecs.oregonstate.edu

Language: English - Date: 2010-06-04 02:07:16
332Multivariate statistics / Dimension reduction / Machine learning / Information retrieval / Functional analysis / Principal component analysis / Johnson–Lindenstrauss lemma / Latent semantic indexing / Curse of dimensionality / Statistics / Algebra / Mathematics

Random projection in dimensionality reduction: Applications to image and text data Ella Bingham and Heikki Mannila ∗

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Source URL: people.inf.elte.hu

Language: English - Date: 2014-09-26 08:40:32
333Multivariate statistics / Dimension reduction / Formal sciences / Segmentation / Feature selection / Data mining / Principal component analysis / Discrete Fourier transform / Feature extraction / Statistics / Machine learning / Data analysis

1 Activity Recognition on 3D Accelerometer Data (Technical Report) Thomas Bernecker, Franz Graf, Hans-Peter Kriegel, Christian Moennig, Dieter Dill and Christoph Tuermer

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Source URL: www.dbs.ifi.lmu.de

Language: English - Date: 2013-03-21 09:07:57
334Semantic Web / Information / Dimension reduction / Natural language processing / Knowledge representation / Latent semantic indexing / Self-organizing map / Latent semantic analysis / Archives & Museum Informatics / Information science / Science / Information retrieval

SOFT ONTOLOGIES AND SIMILARITY CLUSTER TOOLS TO FACILITATE EXPLORATION AND DISCOVERY OF CULTURAL HERITAGE RESOURCES Aviles Collao, J., Diaz-Kommonen, L., Kaipainen, M., Pietarila, J., University of Art and Design Helsink

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Source URL: www.archimuse.com

Language: English - Date: 2011-09-09 18:19:44
335Statistics / Cartography / Image processing / Imaging / Dimension reduction / Feature extraction / Segmentation / Multispectral image / Pansharpened image / Computer vision / Vision / Optics

Microsoft Word - Paper[removed]PDF

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Source URL: www.ncaor.gov.in

Language: English - Date: 2014-11-24 05:38:13
336Data mining / Machine learning / Dimension reduction / Self-organizing map / Teuvo Kohonen / Competitive learning / Cluster analysis / Anomaly detection / Unsupervised learning / Statistics / Neural networks / Data analysis

Anomaly Detection in Emergency Call Data – the First Step to the Intelligent Emergency Call System Management Petr Klement Václav Snášel

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Source URL: www.viscovery.net

Language: English - Date: 2010-01-11 05:39:58
337Data analysis / Structural engineering / Structural health monitoring / Machine learning / Dimension reduction / Array programming languages / Feature / Kernel density estimation / Los Alamos National Laboratory / Statistics / Software / Computer vision

Structural Health Monitoring Tools (SHMTools) Getting Started LANL/UCSD Engineering Institute LA-CC[removed]

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Source URL: www.lanl.gov

Language: English - Date: 2014-12-15 20:06:01
338Quantization / Sigma / Statistics / Neural networks / Dimension reduction / Self-organizing map

Supplement of Biogeosciences, 11, 6451–6470, 2014 http://www.biogeosciences.net[removed]doi:[removed]bg[removed]supplement © Author(s[removed]CC Attribution 3.0 License. Supplement of

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Source URL: www.biogeosciences.net

Language: English - Date: 2014-12-03 11:52:00
339Sufficient dimension reduction / Sliced inverse regression / Multinomial logit / Linear regression / Separation / Multinomial distribution / Exponential family / Generalized linear model / Outline of regression analysis / Statistics / Regression analysis / Logistic regression

Multinomial Inverse Regression for Text Analysis Matt Taddy arXiv:1012.2098v7 [stat.ME] 8 Aug 2013

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Source URL: arxiv.org

Language: English - Date: 2013-08-08 23:27:26
340Machine learning / Search algorithms / Dimension reduction / Feature selection / K-nearest neighbor algorithm / Cross-validation / Support vector machine / DBpedia / Statistics / Model selection / Artificial intelligence

Feature Selection in Hierarchical Feature Spaces Petar Ristoski and Heiko Paulheim University of Mannheim, Germany Research Group Data and Web Science {petar.ristoski,heiko}@informatik.uni-mannheim.de

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Source URL: ub-madoc.bib.uni-mannheim.de

Language: English - Date: 2014-10-01 05:30:01
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