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» An Adaptive Variational Model for Image Decomposition
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ETVC
2008
13 years 7 months ago
Statistical Computing on Manifolds: From Riemannian Geometry to Computational Anatomy
Computational anatomy is an emerging discipline that aims at analyzing and modeling the individual anatomy of organs and their biological variability across a population. The goal ...
Xavier Pennec
COMPGEOM
2003
ACM
13 years 10 months ago
Cost-driven octree construction schemes: an experimental study
Given a scene consisting of objects, ray shooting queries answer with the first object encountered by a given ray, and are used in ray tracing and radiosity for rendering photo-r...
Boris Aronov, Hervé Brönnimann, Allen ...
JMLR
2010
195views more  JMLR 2010»
13 years 3 months ago
Online Learning for Matrix Factorization and Sparse Coding
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
HPDC
1998
IEEE
13 years 9 months ago
Towards a Hierarchical Scheduling System for Distributed WWW Server Clusters
In this paper we present a model for dynamically scheduling HTTP requests across clusters of servers, optimizing the use of client resources as well as the scattered server nodes....
Daniel Andresen, Timothy McCune
TNN
2008
178views more  TNN 2008»
13 years 5 months ago
IMORL: Incremental Multiple-Object Recognition and Localization
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
Haibo He, Sheng Chen