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ICRA
2005
IEEE
150views Robotics» more  ICRA 2005»
16 years 7 days ago
Learning Sensor Network Topology through Monte Carlo Expectation Maximization
— We consider the problem of inferring sensor positions and a topological (i.e. qualitative) map of an environment given a set of cameras with non-overlapping fields of view. In...
Dimitri Marinakis, Gregory Dudek, David J. Fleet
JSAC
2006
93views more  JSAC 2006»
15 years 6 months ago
Performance Enhancement of On-Board Communication Networks Using Outage Prediction
Abstract--A research area that has become increasingly important in recent years is that of on-board mobile communication, where users on a vehicle are connected to a local network...
Adeel Baig, Lavy Libman, Mahbub Hassan
EMNLP
2009
15 years 4 months ago
Geo-mining: Discovery of Road and Transport Networks Using Directional Patterns
One of the most desired information types when planning a trip to some place is the knowledge of transport, roads and geographical connectedness of prominent sites in this place. ...
Dmitry Davidov, Ari Rappoport
JMLR
2010
202views more  JMLR 2010»
15 years 1 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
MOBIQUITOUS
2007
IEEE
16 years 28 days ago
Content Source Selection in Bluetooth Networks
—Large scale market penetration of electronic devices equipped with Bluetooth technology now gives the ability to share content (such as music or video clips) between members of ...
Liam McNamara, Cecilia Mascolo, Licia Capra