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ICML
2010
IEEE
15 years 7 months ago
Proximal Methods for Sparse Hierarchical Dictionary Learning
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
Rodolphe Jenatton, Julien Mairal, Guillaume Obozin...
JMLR
2008
110views more  JMLR 2008»
15 years 6 months ago
Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods
We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...
Matthias W. Seeger
IJSS
2007
82views more  IJSS 2007»
15 years 6 months ago
A holistic method for finding out critical features of industry maintenance services
— The purpose of this case study is to create a competitive operative management system for efficiency and quality performance for a company running maintenance service business ...
Juha-Matti Ranta, Josu Takala
MCS
2007
Springer
15 years 6 months ago
Parallel unstructured mesh generation by an advancing front method
Mesh generation is a critical step in high fidelity computational simulations. High-quality and high-density meshes are required to accurately capture the complex physical phenome...
Yasushi Ito, Alan M. Shih, Anil K. Erukala, Bharat...
VLDB
2010
ACM
144views Database» more  VLDB 2010»
15 years 4 months ago
Methods for finding frequent items in data streams
The frequent items problem is to process a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in d...
Graham Cormode, Marios Hadjieleftheriou