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» Integrating Range and Object Data for Robot Navigation
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KDD
2006
ACM
163views Data Mining» more  KDD 2006»
14 years 8 months ago
New EM derived from Kullback-Leibler divergence
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
Longin Jan Latecki, Marc Sobel, Rolf Lakämper
DAGM
2009
Springer
13 years 11 months ago
An Efficient Linear Method for the Estimation of Ego-Motion from Optical Flow
Abstract. Approaches to visual navigation, e.g. used in robotics, require computationally efficient, numerically stable, and robust methods for the estimation of ego-motion. One of...
Florian Raudies, Heiko Neumann
CA
1999
IEEE
14 years 20 hour ago
Fast Synthetic Vision, Memory, and Learning Models for Virtual Humans
This paper presents a simple and efficient method of modeling synthetic vision, memory, and learning for autonomous animated characters in real-time virtual environments. The mode...
James J. Kuffner Jr., Jean-Claude Latombe
DBA
2004
111views Database» more  DBA 2004»
13 years 9 months ago
Effective Decompositioning of Complex Spatial Objects into Intervals
In order to guarantee efficient query processing together with industrial strength, spatial index structures have to be integrated into fully-fledged object-relational database ma...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
WPES
2005
ACM
14 years 1 months ago
Maintaining privacy on derived objects
Protecting privacy means to ensure users that access to their personal data complies with their preferences. However, information can be manipulated in order to derive new objects...
Nicola Zannone, Sushil Jajodia, Fabio Massacci, Du...