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NIPS
1998
13 years 10 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
JCO
2010
182views more  JCO 2010»
13 years 7 months ago
Polynomial time approximation schemes for minimum disk cover problems
The following planar minimum disk cover problem is considered in this paper: given a set D of n disks and a set P of m points in the Euclidean plane, where each disk covers a subse...
Chen Liao, Shiyan Hu
MOBISYS
2005
ACM
14 years 9 months ago
Shake them up!: a movement-based pairing protocol for CPU-constrained devices
This paper presents a new pairing protocol that allows two CPU-constrained wireless devices Alice and Bob to establish a shared secret at a very low cost. To our knowledge, this i...
Claude Castelluccia, Pars Mutaf
INFOCOM
2006
IEEE
14 years 3 months ago
Effective Packet Scheduling with Fairness Adaptation in Ultra Wideband Wireless Networks
Abstract— The inherent spread spectrum nature in ultrawideband (UWB) communications can support simultaneous transmissions. Two nearby transmissions do not collide, but rather ge...
Hai Jiang, Weihua Zhuang
SSD
2005
Springer
150views Database» more  SSD 2005»
14 years 2 months ago
Opportunistic Data Dissemination in Mobile Peer-to-Peer Networks
In this paper we examine the dissemination of availability reports about resources in mobile peer-to-peer networks, where moving objects communicate with each other via short-range...
A. Prasad Sistla, Ouri Wolfson, Bo Xu