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ICUMT
2009
13 years 6 months ago
A theoretical model for opportunistic routing in ad hoc networks
Traditional routing strategies for multi-hop wireless networks forward packets by selecting at the sender side the next hop for each packet. Recently, such a paradigm has been call...
Angela Sara Cacciapuoti, Marcello Caleffi, Luigi P...
EXPERT
2010
145views more  EXPERT 2010»
13 years 6 months ago
Interaction Analysis with a Bayesian Trajectory Model
Human behavior recognition is one of the most important and challenging objectives performed by intelligent vision systems. Several issues must be faced in this domain ranging fro...
Alessio Dore, Carlo S. Regazzoni
ICASSP
2008
IEEE
14 years 3 months ago
A GIS-like training algorithm for log-linear models with hidden variables
Conditional Random Fields (CRFs) are often estimated using an entropy based criterion in combination with Generalized Iterative Scaling (GIS). GIS offers, upon others, the immedi...
Georg Heigold, Thomas Deselaers, Ralf Schlüte...
GG
2008
Springer
13 years 10 months ago
Adaptive Star Grammars for Graph Models
Abstract. Adaptive star grammars generalize well-known graph grammar formalisms based on hyperedge and node replacement while retaining, e.g., parseability and the commutativity an...
Frank Drewes, Berthold Hoffmann, Mark Minas
CORR
2008
Springer
107views Education» more  CORR 2008»
13 years 9 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang