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NIPS
2004
13 years 9 months ago
Contextual Models for Object Detection Using Boosted Random Fields
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
Antonio Torralba, Kevin P. Murphy, William T. Free...
CVPR
2012
IEEE
11 years 10 months ago
Model recommendation for action recognition
Simply choosing one model out of a large set of possibilities for a given vision task is a surprisingly difficult problem, especially if there is limited evaluation data with whi...
Pyry Matikainen, Rahul Sukthankar, Martial Hebert
AUTOMATICA
2006
63views more  AUTOMATICA 2006»
13 years 7 months ago
Inference of disjoint linear and nonlinear sub-domains of a nonlinear mapping
This paper investigates new ways of inferring nonlinear dependence from measured data. The existence of unique linear and nonlinear sub-spaces which are structural invariants of g...
Douglas J. Leith, William E. Leithead, Roderick Mu...
FAST
2008
13 years 10 months ago
Parity Lost and Parity Regained
RAID storage systems protect data from storage errors, such as data corruption, using a set of one or more integrity techniques, such as checksums. The exact protection offered by...
Andrew Krioukov, Lakshmi N. Bairavasundaram, Garth...
CDC
2010
IEEE
138views Control Systems» more  CDC 2010»
13 years 2 months ago
Design of a navigation filter by analysis of local observability
This paper presents an inertial navigation filter designed for an automotive vehicle not equipped with any GPS receiver. The task of this filter is to provide relative position inf...
Pierre-Jean Bristeau, Nicolas Petit, Laurent Praly