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CVPR
2012
IEEE
13 years 5 months ago
Submodular dictionary learning for sparse coding
A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...
Zhuolin Jiang, Guangxiao Zhang, Larry S. Davis
143
Voted
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 3 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
KDD
2003
ACM
269views Data Mining» more  KDD 2003»
16 years 3 months ago
Maximizing the spread of influence through a social network
Models for the processes by which ideas and influence propagate through a social network have been studied in a number of domains, including the diffusion of medical and technolog...
David Kempe, Jon M. Kleinberg, Éva Tardos
PODS
2005
ACM
136views Database» more  PODS 2005»
16 years 3 months ago
Context-sensitive program analysis as database queries
Program analysis has been increasingly used in software engineering tasks such as auditing programs for security vulnerabilities and finding errors in general. Such tools often re...
Monica S. Lam, John Whaley, V. Benjamin Livshits, ...
PODC
2006
ACM
15 years 9 months ago
Quorum placement in networks: minimizing network congestion
A quorum system over a universe of logical elements is a collection of subsets (quorums) of elements, any two of which intersect. In numerous distributed algorithms, the elements ...
Daniel Golovin, Anupam Gupta, Bruce M. Maggs, Flor...