1354 search results - page 176 / 271 » Learning Object Models from Appearance |
67
Voted
ICPR
2010
IEEE
15 years 6 months ago
2010
IEEE
Over the last several years, a new probabilistic representation for 3-d volumetric modeling has been developed. The main purpose of the model is to detect deviations from the norm...
144
Voted
ICDM
2010
IEEE
15 years 1 months ago
2010
IEEE
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
157
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IJRR
2010
15 years 1 months ago
2010
This paper presents a novel approach to detect and track pedestrians and cars based on the combined information retrieved from a camera and a laser range scanner. Laser data points...
138
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ML
2006
ACM
15 years 3 months ago
2006
ACM
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
140
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DEXAW
2004
IEEE
15 years 7 months ago
2004
IEEE
Data exchange between embedded systems and other small or large computing devices increases. Since data in different data sources may refer to the same real world objects, data ca...