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NIPS
2004
13 years 9 months ago
Maximum Margin Clustering
We propose a new method for clustering based on finding maximum margin hyperplanes through data. By reformulating the problem in terms of the implied equivalence relation matrix, ...
Linli Xu, James Neufeld, Bryce Larson, Dale Schuur...
SIGMOD
2011
ACM
158views Database» more  SIGMOD 2011»
12 years 10 months ago
Workload-aware database monitoring and consolidation
In most enterprises, databases are deployed on dedicated database servers. Often, these servers are underutilized much of the time. For example, in traces from almost 200 producti...
Carlo Curino, Evan P. C. Jones, Samuel Madden, Har...
JMLR
2012
11 years 10 months ago
Maximum Margin Temporal Clustering
Temporal Clustering (TC) refers to the factorization of multiple time series into a set of non-overlapping segments that belong to k temporal clusters. Existing methods based on e...
Minh Hoai Nguyen, Fernando De la Torre
ICML
2007
IEEE
14 years 8 months ago
Information-theoretic metric learning
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...
Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit ...
TACAS
2009
Springer
109views Algorithms» more  TACAS 2009»
14 years 2 months ago
TaPAS: The Talence Presburger Arithmetic Suite
TAPAS is a suite of libraries dedicated to FO (R, Z, +, ≤). The suite provides (1) the application programming interface GENEPI for this logic with encapsulations of many classic...
Jérôme Leroux, Gérald Point