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ICML
1999
IEEE
16 years 3 months ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Sebastian Thrun, John Langford, Dieter Fox
EDBT
2004
ACM
155views Database» more  EDBT 2004»
16 years 3 months ago
Processing Unions of Conjunctive Queries with Negation under Limited Access Patterns
We study the problem of answering queries over sources with limited access patterns. The problem is to decide whether a given query Q is feasible, i.e., equivalent to an executable...
Alan Nash, Bertram Ludäscher
ATAL
2004
Springer
15 years 8 months ago
Decentralized Markov Decision Processes with Event-Driven Interactions
Decentralized MDPs provide a powerful formal framework for planning in multi-agent systems, but the complexity of the model limits its usefulness. We study in this paper a class o...
Raphen Becker, Shlomo Zilberstein, Victor R. Lesse...
EDBT
2009
ACM
124views Database» more  EDBT 2009»
15 years 6 months ago
Processing probabilistic spatio-temporal range queries over moving objects with uncertainty
Range queries for querying the current and future positions of the moving objects have received growing interests in the research community. Existing methods, however, assume that...
Bruce S. E. Chung, Wang-Chien Lee, Arbee L. P. Che...
PR
2000
106views more  PR 2000»
15 years 2 months ago
Non-linear image processing in hardware
A new ASIC capable of computing rank order "lters, weighted rank order "lters, standard erosion and dilation, soft erosion and dilation, order statistic soft erosion and...
Antonios Gasteratos, Ioannis Andreadis