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ICML
2007
IEEE
14 years 9 months ago
An empirical evaluation of deep architectures on problems with many factors of variation
Recently, several learning algorithms relying on models with deep architectures have been proposed. Though they have demonstrated impressive performance, to date, they have only b...
Hugo Larochelle, Dumitru Erhan, Aaron C. Courville...
EVOW
2003
Springer
14 years 1 months ago
Landscape State Machines: Tools for Evolutionary Algorithm Performance Analyses and Landscape/Algorithm Mapping
Abstract. Many evolutionary algorithm applications involve either fitness functions with high time complexity or large dimensionality (hence very many fitness evaluations will typi...
David Corne, Martin J. Oates, Douglas B. Kell
SIGMOD
2007
ACM
197views Database» more  SIGMOD 2007»
14 years 8 months ago
Automated and on-demand provisioning of virtual machines for database applications
Utility computing delivers compute and storage resources to applications as an `on-demand utility', much like electricity, from a distributed collection of computing resource...
Piyush Shivam, Azbayar Demberel, Pradeep Gunda, Da...
ICMCS
1994
IEEE
151views Multimedia» more  ICMCS 1994»
14 years 26 days ago
An Adaptive Document Management System for Shared Multimedia Data
Abstract
T. M. Wittenburg, Thomas D. C. Little
MICCAI
2008
Springer
14 years 10 months ago
Classification of Suspected Liver Metastases Using fMRI Images: A Machine Learning Approach
Abstract. This paper presents a machine-learning approach to the interactive classification of suspected liver metastases in fMRI images. The method uses fMRI-based statistical mod...
Moti Freiman, Yifat Edrei, Yehonatan Sela, Yitz...