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98
Voted
DAC
2005
ACM
16 years 3 months ago
Scalable trajectory methods for on-demand analog macromodel extraction
Trajectory methods sample the state trajectory of a circuit as it simulates in the time domain, and build macromodels by reducing and interpolating among the linearizations create...
Saurabh K. Tiwary, Rob A. Rutenbar
137
Voted
CVPR
2012
IEEE
13 years 5 months ago
Capturing relightable images using computer monitors
Image based relighting techniques are a popular choice for generating photo-realistic images of objects under any lighting condition. A typical process for creating such a model i...
Prabath Gunawardane, Steven Scher, James Davis
105
Voted
IDA
2009
Springer
15 years 9 months ago
Bayesian Robust PCA for Incomplete Data
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...
Jaakko Luttinen, Alexander Ilin, Juha Karhunen
127
Voted
ECCV
2000
Springer
16 years 4 months ago
A Probabilistic Background Model for Tracking
A new probabilistic background model based on a Hidden Markov Model is presented. The hidden states of the model enable discrimination between foreground, background and shadow. Th...
Jens Rittscher, Jien Kato, Sébastien Joga, ...
130
Voted
AIPS
2000
15 years 4 months ago
Probabilistic Hybrid Action Models for Predicting Concurrent Percept-Driven Robot Behavior
This paper develops Probabilistic Hybrid Action Models (PHAMs), a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans. PHA...
Michael Beetz, Henrik Grosskreutz