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CVPR
2005
IEEE
16 years 1 months ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas
CDC
2009
IEEE
148views Control Systems» more  CDC 2009»
15 years 4 months ago
Comparison of reduced order lithium-ion battery models for control applications
— Lithium-ion batteries are the core of new plug-in hybrid-electrical vehicles (PHEV) as well as considered in many 2nd generation hybrid electric vehicles (HEV). In most cases t...
Carmelo Speltino, Domenico Di Domenico, Giovanni F...
ETVC
2008
15 years 1 months ago
Sparse Multiscale Patches for Image Processing
Abstract. This paper presents a framework to define an objective measure of the similarity (or dissimilarity) between two images for image processing. The problem is twofold: 1) de...
Paolo Piro, Sandrine Anthoine, Eric Debreuve, Mich...
FLAIRS
1998
15 years 1 months ago
An AI Approach to Computer Assisted Tomography
Computer assisted tomography (CAT) systems demandlarge amounts of time and space. In this paper, wedescribe an approachto solving the CAT problemusing several AItechniques includi...
John F. Kolen, David A. Shamma, Thomas Reichherzer...
NIPS
2000
15 years 1 months ago
Learning Continuous Distributions: Simulations With Field Theoretic Priors
Learning of a smooth but nonparametric probability density can be regularized using methods of Quantum Field Theory. We implement a field theoretic prior numerically, test its eff...
Ilya Nemenman, William Bialek