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#	Item
91	Information Theory based Validation for Point-cloud Segmentation aided by Tensor Voting Ming Liu, Roland Siegwart Autonomous Systems Lab, ETH Zurich, Switzerland , Add to Reading List Source URL: www.ee.ust.hk Language: English - Date: 2013-12-08 20:12:54 Statistics Computational statistics Data mining Data analysis Cluster analysis Geostatistics Image segmentation K-means clustering Spectral clustering Determining the number of clusters in a data set Consensus clustering
92	UPPER TAILS FOR ARITHMETIC PROGRESSIONS IN A RANDOM SET BHASWAR B. BHATTACHARYA, SHIRSHENDU GANGULY, XUANCHENG SHAO, AND YUFEI ZHAO Abstract. Let Xk denote the number of k-term arithmetic progressions in a random subset Add to Reading List Source URL: yufeizhao.com Language: English - Date: 2016-05-10 13:40:59
93	B. Balasundaram · S. Butenko · I. V. Hicks? · S. Sachdeva Clique Relaxations in Social Network Analysis: The Maximum k-plex Problem Add to Reading List Source URL: www.caam.rice.edu Language: English - Date: 2006-08-14 16:34:49 Graph theory NP-complete problems Clique Degeneracy Dominating set Independent set Graph Degree Graph coloring Extremal graph theory
94	A Mini-Course on Convex Optimization with a view toward designing fast algorithms Nisheeth K. Vishnoi i Add to Reading List Source URL: theory.epfl.ch Language: English - Date: 2015-10-07 04:19:12 Mathematical optimization Mathematical analysis Numerical analysis Convex analysis Convex optimization Operations research Linear programming Convex function Gradient descent Derivative Convex set Ellipsoid method
95	Decision-theoretic Clustering of Strategies Add to Reading List Source URL: poker.cs.ualberta.ca Language: English - Date: 2015-03-04 17:02:48 Computational statistics Statistics Mathematics K-means clustering Hierarchical clustering Cluster analysis Image segmentation K-means++ Greedy algorithm K-medians clustering Data stream clustering Determining the number of clusters in a data set
96	Outerplanar Obstructions for Feedback Vertex Set∗† Juanjo Ru´e‡§ Konstantinos S. Stavropoulos¶k Dimitrios M. Thilikos¶∗∗ Add to Reading List Source URL: www-ma2.upc.edu Language: English - Date: 2009-12-01 16:40:10
97	THEOREM OF THE DAY The Three-Distance Theorem Let α ∈ (0, 1) be irrational and let N be a positive integer. Then the set of lengths {kα \| 0 ≤ k ≤ N}, measured around the unit-circumference circle, partitions the Add to Reading List Source URL: www.theoremoftheday.org Language: English - Date: 2014-02-07 05:07:17
98	Pragmatic Text Mining: Minimizing Human Effort to Quantify Many Issues in Call Logs Add to Reading List Source URL: www.kirshenbaum.net Language: English - Date: 2014-02-14 19:39:21 Machine learning Statistical classification Data mining Cluster analysis Geostatistics K-means clustering Pattern recognition Support vector machine Supervised learning Naive Bayes classifier Determining the number of clusters in a data set Semi-supervised learning
99	THEOREM OF THE DAY Sims’ Conjecture There is a function f which, for any finite permutation group G acting primitively on a set Ω, bounds the order of a point stabilizer Gα, α ∈ Ω, as \|Gα\| ≤ f (k), k being t Add to Reading List Source URL: www.theoremoftheday.org Language: English - Date: 2014-02-07 05:06:56
100	Coresets for Nonparametric Estimation — the Case of DP-Means Olivier Bachem Mario Lucic Andreas Krause ETH Zurich, Switzerland Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:43 Statistics Computational statistics Cluster analysis Machine learning Monte Carlo methods K-means clustering K-means++ Dirichlet process Mixture model Median Importance sampling Determining the number of clusters in a data set