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#	Item
111	Affine Dispersers from Subspace Polynomials Eli Ben-Sasson∗ Swastik Kopparty † Add to Reading List Source URL: www.math.ias.edu Language: English - Date: 2010-03-12 02:25:21
112	PROBLEM FIELD: APPROXIMATION OF FRAMES BY NORMALIZED TIGHT ONES MICHAEL FRANK Let {xi }i be a frame of a Hilbert subspace K ⊆ H of a given (separable) Hilbert space H with upper and lower frame bounds B and A. The resu Add to Reading List Source URL: www.imn.htwk-leipzig.de Language: English - Date: 2004-02-29 12:41:40
113	Functional Subspace Clustering with Application to Time Series A. Proof of the statement in Eq. (3) In order to show the the result in Eq. (3), we breakdown P the process in Eq. (2) into two steps: Let us denote e = Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:43 Mathematics Functions and mappings Transformation Abstract algebra Linear algebra Linear map Quaternions
114	FORMALIZED MATHEMATICS 2007, Vol. 15, No. 3, Pages Add to Reading List Source URL: fm.mizar.org Language: English - Date: 2009-03-24 07:43:21 Algebra Mathematics Linear algebra Linear map Vector space Basis Linear subspace Rank Linear combination Operator Dual space Kernel
115	Naive random subspace ensemble with linear classifiers for real-time classification of fMRI data Add to Reading List Source URL: haxbylab.dartmouth.edu Language: English - Date: 2016-04-01 22:52:21
116	ASYMPTOTIC PERFORMANCE ANALYSIS OF PCA ALGORITHMS BASED ON THE WEIGHTED SUBSPACE CRITERION Jean Pierre Delmas, Victor Gabillon TELECOM & Management SudParis, 91011 Evry, France D´epartement CITI, CNRS UMR 5157 ABSTRACT Add to Reading List Source URL: victorgabillon.nfshost.com Language: English - Date: 2010-03-26 12:05:12 Multivariate statistics Dimension reduction Principal component analysis
117	Functional Subspace Clustering with Application to Time Series Mohammad Taha Bahadori∗ MOHAMMAB @ USC . EDU David Kale∗† DKALE @ USC . EDU Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:43 Machine learning Statistics Learning Artificial intelligence Multivariate statistics Dynamic programming Cluster analysis Data mining Geostatistics K-means clustering Principal component analysis Dynamic time warping
118	IEEE PEM December 2014 Feature (Deepak Divan) -Power Electronics at the Grid Edge25-14) Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2015-02-05 11:22:32 Machine learning Artificial intelligence Learning Ensemble learning Cognition Random subspace method Supervised learning Statistical classification
119	Algorithms and Hardness for Subspace Approximation Amit Deshpande∗ Madhur Tulsiani† Nisheeth K. Vishnoi‡ Add to Reading List Source URL: ttic.uchicago.edu Language: English - Date: 2011-10-12 09:49:14
120	Subspace Rings: A New Tool in Communication Trellis Design John Kieffer Dept. of Electrical & Computer Engineering University of Minnesota Minneapolis, MN 55455 Add to Reading List Source URL: ita.ucsd.edu Language: English - Date: 2006-01-12 19:11:54

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