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CVPR
2011
IEEE
13 years 4 months ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
CIS
2010
Springer
13 years 3 months ago
Sensor Graphs for Guaranteed Cooperative Localization Performance
A group of mobile robots can localize cooperatively, using relative position and absolute orientation measurements, fused through an extended Kalman filter (ekf). The topology of ...
Y. Yuan, H. G. Tanner
ICDE
2011
IEEE
200views Database» more  ICDE 2011»
12 years 12 months ago
Deriving probabilistic databases with inference ensembles
— Many real-world applications deal with uncertain or missing data, prompting a surge of activity in the area of probabilistic databases. A shortcoming of prior work is the assum...
Julia Stoyanovich, Susan B. Davidson, Tova Milo, V...
ECIS
2011
12 years 8 months ago
What consumers think, feel, and do toward digital ads: a multi-phase study
With the wide deployment of digital technologies, come along information artefacts in various forms for various purposes that consumers have to interact with. This paper reports a...
Ping Zhang
ICML
2000
IEEE
14 years 9 months ago
Rates of Convergence for Variable Resolution Schemes in Optimal Control
This paper presents a general method to derive tight rates of convergence for numerical approximations in optimal control when we consider variable resolution grids. We study the ...
Andrew W. Moore, Rémi Munos