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ICML
2003
IEEE
16 years 4 months ago
Unsupervised Learning with Permuted Data
We consider the problem of unsupervised learning from a matrix of data vectors where in each row the observed values are randomly permuted in an unknown fashion. Such problems ari...
Sergey Kirshner, Sridevi Parise, Padhraic Smyth
ISCA
2009
IEEE
152views Hardware» more  ISCA 2009»
15 years 10 months ago
Scaling the bandwidth wall: challenges in and avenues for CMP scaling
As transistor density continues to grow at an exponential rate in accordance to Moore’s law, the goal for many Chip Multi-Processor (CMP) systems is to scale the number of on-ch...
Brian M. Rogers, Anil Krishna, Gordon B. Bell, Ken...
CORR
2010
Springer
92views Education» more  CORR 2010»
15 years 4 months ago
Parameterizing by the Number of Numbers
The usefulness of parameterized algorithmics has often depended on what Niedermeier has called, "the art of problem parameterization." In this paper we introduce and expl...
Michael R. Fellows, Serge Gaspers, Frances A. Rosa...
STOC
2009
ACM
155views Algorithms» more  STOC 2009»
16 years 4 months ago
A nearly optimal oracle for avoiding failed vertices and edges
We present an improved oracle for the distance sensitivity problem. The goal is to preprocess a directed graph G = (V, E) with non-negative edge weights to answer queries of the f...
Aaron Bernstein, David R. Karger
ICCV
2007
IEEE
15 years 10 months ago
Structure from Motion with Missing Data is NP-Hard
This paper shows that structure from motion is NP-hard for most sensible cost functions when missing data is allowed. The result provides a fundamental limitation of what is possi...
David Nistér, Fredrik Kahl, Henrik Stew&eac...