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» An Approximation Algorithm for Approximation Rank
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STOC
2009
ACM
271views Algorithms» more  STOC 2009»
16 years 29 days ago
A fast and efficient algorithm for low-rank approximation of a matrix
The low-rank matrix approximation problem involves finding of a rank k version of a m ? n matrix AAA, labeled AAAk, such that AAAk is as "close" as possible to the best ...
Nam H. Nguyen, Thong T. Do, Trac D. Tran
STACS
2001
Springer
15 years 4 months ago
Approximation Algorithms for the Bottleneck Stretch Factor Problem
The stretch factor of a Euclidean graph is the maximum ratio of the distance in the graph between any two points and their Euclidean distance. Given a set S of n points in Rd, we ...
Giri Narasimhan, Michiel H. M. Smid
ICWS
2009
IEEE
15 years 9 months ago
What are the Problem Makers: Ranking Activities According to their Relevance for Process Changes
Recently, a new generation of adaptive process management technology has emerged, which enables dynamic changes of composite services and process models respectively. This, in tur...
Chen Li, Manfred Reichert, Andreas Wombacher
WAW
2007
Springer
77views Algorithms» more  WAW 2007»
15 years 6 months ago
Using Bloom Filters to Speed Up HITS-Like Ranking Algorithms
Abstract. This paper describes a technique for reducing the querytime cost of HITS-like ranking algorithm. The basic idea is to compute for each node in the web graph a summary of ...
Sreenivas Gollapudi, Marc Najork, Rina Panigrahy
111
Voted
CORR
2011
Springer
157views Education» more  CORR 2011»
14 years 4 months ago
Large-Scale Convex Minimization with a Low-Rank Constraint
We address the problem of minimizing a convex function over the space of large matrices with low rank. While this optimization problem is hard in general, we propose an efficient...
Shai Shalev-Shwartz, Alon Gonen, Ohad Shamir