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KAIS
2010
132views more  KAIS 2010»
15 years 1 months ago
Integrating multiple document features in language models for expert finding
We argue that expert finding is sensitive to multiple document features in an organizational intranet. These document features include multiple levels of associations between expe...
Jianhan Zhu, Xiangji Huang, Dawei Song, Stefan M. ...
CVPR
2006
IEEE
16 years 5 months ago
Multiple Object Class Detection with a Generative Model
In this paper we propose an approach capable of simultaneous recognition and localization of multiple object classes using a generative model. A novel hierarchical representation ...
Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele
ISRR
2005
Springer
178views Robotics» more  ISRR 2005»
15 years 8 months ago
Improved Estimation of Target Velocity Using Multiple Model Estimation and a Dynamic Bayesian Network for a Robotic Tracker of O
A vision-based automatic tracking system for ocean animals in the midwater has been demonstrated in Monterey Bay, CA. Currently, the input to this system is a measurement of relati...
Aaron Plotnik, Stephen Rock
ICARCV
2006
IEEE
125views Robotics» more  ICARCV 2006»
15 years 9 months ago
Online Center of Gravity Estimation in Automotive Vehicles using Multiple Models and Switching
— In this paper we present a methodology based on multiple models and switching for realtime estimation of center of gravity (CG) position in automotive vehicles. The method util...
Selim Solmaz, Mehmet Akar, Robert Shorten
CDC
2008
IEEE
157views Control Systems» more  CDC 2008»
15 years 3 months ago
A hidden Markov filtering approach to multiple change-point models
We describe a hidden Markov modeling approach to multiple change-points that has attractive computational and statistical properties. This approach yields explicit recursive filter...
Tze Leung Lai, Haipeng Xing