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MVA
2002
226views Computer Vision» more  MVA 2002»
15 years 4 months ago
Adaptive Background Estimation and Shadow Removal in Indoor Scenes
2 Background Model Background subtraction algorithm is susceptible to both global and local illumination changes such as shadows, sunlight and reflection. These changes sometimes c...
Junya Morita, Yoshio Iwai, Masahiko Yachida
PRL
2010
149views more  PRL 2010»
14 years 11 months ago
Adaptive linear models for regression: Improving prediction when population has changed
The general setting of regression analysis is to identify a relationship between a response variable Y and one or several explanatory variables X by using a learning sample. In a ...
Charles Bouveyron, Julien Jacques
KDD
1997
ACM
109views Data Mining» more  KDD 1997»
15 years 8 months ago
Beyond Concise and Colorful: Learning Intelligible Rules
A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to understand data by discovering useful ...
Michael J. Pazzani, Subramani Mani, William Rodman...
ATAL
2008
Springer
15 years 6 months ago
Dancing the night away: controlling a virtual karaoke dancer by multimodal expressive cues
In this article, we propose an approach of nonverbal interaction with virtual agents to control agents' behavioral expressivity by extracting and combining acoustic and gestu...
Matthias Rehm, Thurid Vogt, Michael Wissner, Nikol...
CIARP
2006
Springer
15 years 6 months ago
A Probabilistic Approach to Build 2D Line Based Maps from Laser Scans in Indoor Environments
In this work we consider a mobile robot with a laser range finder. Our goal is to find the best set of lines from the sequence of points given by a laser scan. We propose a probabi...
Leonardo Romero, Carlos Lara