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231
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ML
1998
ACM
153views Machine Learning» more  ML 1998»
15 years 6 months ago
Bayesian Landmark Learning for Mobile Robot Localization
To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...
Sebastian Thrun
SPEECH
2002
113views more  SPEECH 2002»
15 years 6 months ago
Estimation of the signal-to-noise ratio with amplitude modulation spectrograms
An algorithm is proposed which automatically estimates the local signalto-noise ratio (SNR) between speech and noise. The feature extraction stage of the algorithm is motivated by...
Jürgen Tchorz, Birger Kollmeier
FGCS
2010
129views more  FGCS 2010»
15 years 5 months ago
Bulk synchronous parallel ML with exceptions
Bulk Synchronous Parallel ML is a high-level language for programming parallel algorithms. Built upon OCaml and using the BSP model, it provides a safe setting for their implementa...
Louis Gesbert, Frédéric Gava, Fr&eac...
207
Voted
FGCS
2010
108views more  FGCS 2010»
15 years 5 months ago
The wandering token: Congestion avoidance of a shared resource
In a distributed system where scalability is an issue, like in a GRID [5], the problem of enforcing mutual exclusion often arises in a soft form: the infrequent failure of the mut...
Augusto Ciuffoletti
ICASSP
2010
IEEE
15 years 5 months ago
Content-aware H.264 encoding for traffic video tracking applications
The compression of video can reduce the accuracy of tracking algorithms, which is problematic for centralized applications that rely on remotely captured and compressed video for ...
Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Kats...