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WWW
2008
ACM
16 years 1 months ago
Measuring extremal dependencies in web graphs
We analyze dependencies in power law graph data (Web sample, Wikipedia sample and a preferential attachment graph) using statistical inference for multivariate regular variation. ...
Yana Volkovich, Nelly Litvak, Bert Zwart
NIPS
2008
15 years 2 months ago
Regularized Co-Clustering with Dual Supervision
By attempting to simultaneously partition both the rows (examples) and columns (features) of a data matrix, Co-clustering algorithms often demonstrate surprisingly impressive perf...
Vikas Sindhwani, Jianying Hu, Aleksandra Mojsilovi...
JMLR
2006
186views more  JMLR 2006»
15 years 16 days ago
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
Mikhail Belkin, Partha Niyogi, Vikas Sindhwani
CVPR
2012
IEEE
13 years 3 months ago
Curvature-based regularization for surface approximation
We propose an energy-based framework for approximating surfaces from a cloud of point measurements corrupted by noise and outliers. Our energy assigns a tangent plane to each (noi...
Carl Olsson, Yuri Boykov
ENTCS
2008
106views more  ENTCS 2008»
15 years 19 days ago
Towards a Sharing Strategy for the Graph Rewriting Calculus
The graph rewriting calculus is an extension of the -calculus, handling graph like structures rather than simple terms. The calculus over terms is naturally generalized by using u...
Paolo Baldan, Clara Bertolissi, Horatiu Cirstea, C...