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» Learning Pedestrian Dynamics from the Real World
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KR
2004
Springer
15 years 3 months ago
Learning Probabilistic Relational Planning Rules
To learn to behave in highly complex domains, agents must represent and learn compact models of the world dynamics. In this paper, we present an algorithm for learning probabilist...
Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kae...
ICPR
2006
IEEE
15 years 10 months ago
An integrated Monte Carlo data association framework for multi-object tracking
We propose a sequential Monte Carlo data association algorithm based on a two-level computational framework for tracking varying number of interacting objects in dynamic scene. Fi...
Jianru Xue, Nanning Zheng, Xiaopin Zhong
ECTEL
2006
Springer
15 years 1 months ago
Interoperability for Peer-to-Peer Networks: Opening P2P to the Rest of the World
Due to the information growth, distributed environments are offered as a feasible and scalable solution where Peerto-Peer networks have become more relevant. They bring many advan...
Ingo Brunkhorst, Daniel Olmedilla
AROBOTS
2006
110views more  AROBOTS 2006»
14 years 9 months ago
Flying over the reality gap: From simulated to real indoor airships
Because of their ability to naturally float in the air, indoor airships (often called blimps) constitute an appealing platform for research in aerial robotics. However, when confr...
Jean-Christophe Zufferey, Alexis Guanella, Antoine...
FTDCS
1999
IEEE
15 years 2 months ago
Lessons Learned from Building a Web-Based Spatial Data Discovery Facility
This paper discusses the lessons learned and decisions made while designing and developing a web-based application for the National Spatial Information Framework (NSIF) of South A...
Ferdie Danzfuss, Judith Bishop