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» Ranking hubs and authorities using matrix functions
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AAAI
2012
11 years 8 months ago
Learning the Kernel Matrix with Low-Rank Multiplicative Shaping
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
Tomer Levinboim, Fei Sha
ICASSP
2011
IEEE
12 years 10 months ago
SRF: Matrix completion based on smoothed rank function
In this paper, we address the matrix completion problem and propose a novel algorithm based on a smoothed rank function (SRF) approximation. Among available algorithms like FPCA a...
Hooshang Ghasemi, Mohmmadreza Malek-Mohammadi, Mas...
JSS
2006
112views more  JSS 2006»
13 years 6 months ago
Generalized comparison of graph-based ranking algorithms for publications and authors
Citation analysis helps in evaluating the impact of scientific collections (journals and conferences), publications and scholar authors. In this paper we examine known algorithms ...
Antonis Sidiropoulos, Yannis Manolopoulos
DAGSTUHL
2007
13 years 7 months ago
A Deeper Investigation of PageRank as a Function of the Damping Factor
PageRank is defined as the stationary state of a Markov chain. The chain is obtained by perturbing the transition matrix induced by a web graph with a damping factor α that spre...
Paolo Boldi, Massimo Santini, Sebastiano Vigna
CORR
2010
Springer
168views Education» more  CORR 2010»
13 years 6 months ago
Penalty Decomposition Methods for Rank Minimization
In this paper we consider general rank minimization problems with rank appearing in either objective function or constraint. We first show that a class of matrix optimization prob...
Zhaosong Lu, Yong Zhang