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» On Unbiased Linear Approximations
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123
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KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 1 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
97
Voted
IPPS
2006
IEEE
15 years 6 months ago
Memory minimization for tensor contractions using integer linear programming
This paper presents a technique for memory optimization for a class of computations that arises in the field of correlated electronic structure methods such as coupled cluster and...
A. Allam, J. Ramanujam, Gerald Baumgartner, P. Sad...
102
Voted
BMCBI
2007
173views more  BMCBI 2007»
15 years 29 days ago
Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model
Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
Ryoko Morioka, Shigehiko Kanaya, Masami Y. Hirai, ...
135
Voted
SIAMSC
2008
179views more  SIAMSC 2008»
15 years 23 days ago
Multigrid Algorithms for Inverse Problems with Linear Parabolic PDE Constraints
Abstract. We present a multigrid algorithm for the solution of distributed parameter inverse problems constrained by variable-coefficient linear parabolic partial differential equa...
Santi S. Adavani, George Biros
TCSV
2008
195views more  TCSV 2008»
15 years 22 days ago
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...