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208
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ICCV
2005
IEEE
16 years 1 months ago
KALMANSAC: Robust Filtering by Consensus
We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximumlikelihood) soluti...
Andrea Vedaldi, Hailin Jin, Paolo Favaro, Stefano ...
188
Voted
HUC
2005
Springer
16 years 29 days ago
A Study of Bluetooth Propagation Using Accurate Indoor Location Mapping
The ubiquitous computing community has widely researched the use of 802.11 for the purpose of location inference. Meanwhile, Bluetooth is increasingly widely deployed due to its lo...
Anil Madhavapeddy, Alastair Tse
208
Voted
IMC
2003
ACM
16 years 23 days ago
In search of path diversity in ISP networks
Internet Service Providers (ISPs) can exploit path diversity to balance load and improve robustness. Unfortunately, it is difficult to evaluate the potential impact of these appr...
Renata Teixeira, Keith Marzullo, Stefan Savage, Ge...
ICMCS
2000
IEEE
138views Multimedia» more  ICMCS 2000»
15 years 12 months ago
Event-Coupled Hidden Markov Models
Inferences from time-series data can be greatly enhanced by taking into account multiple modalities. In some cases, such as audio of speech and the corresponding video of lip gest...
Trausti T. Kristjansson, Brendan J. Frey, Thomas S...
170
Voted
ICB
2007
Springer
161views Biometrics» more  ICB 2007»
15 years 11 months ago
Latent Identity Variables: Biometric Matching Without Explicit Identity Estimation
Abstract. We present a new approach to biometrics that makes probabilistic inferences about matching without ever estimating an identity "template". The biometric data is...
Simon J. D. Prince, Jania Aghajanian, Umar Mohamme...