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ADBIS
2009
Springer
128views Database» more  ADBIS 2009»
14 years 5 months ago
Detecting Moving Objects in Noisy Radar Data Using a Relational Database
Abstract. In moving object databases, many authors assume that number and position of objects to be processed are always known in advance. Detecting an unknown moving object and pu...
Andreas Behrend, Rainer Manthey, Gereon Schül...
EMMCVPR
2001
Springer
14 years 2 months ago
Designing the Minimal Structure of Hidden Markov Model by Bisimulation
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
Manuele Bicego, Agostino Dovier, Vittorio Murino
AAAI
2004
13 years 11 months ago
Self-Organizing Visual Maps
This paper deals with automatically learning the spatial distribution of a set of images. That is, given a sequence of images acquired from well-separated locations, how can they ...
Robert Sim, Gregory Dudek
CORR
2008
Springer
154views Education» more  CORR 2008»
13 years 10 months ago
A Counterexample Guided Abstraction-Refinement Framework for Markov Decision Processes
rexample Guided Abstraction-Refinement Framework for Markov Decision Processes ROHIT CHADHA and MAHESH VISWANATHAN Dept. of Computer Science, University of Illinois at Urbana-Champ...
Rohit Chadha, Mahesh Viswanathan
RAS
2010
117views more  RAS 2010»
13 years 8 months ago
Extending BDI plan selection to incorporate learning from experience
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. We describe a novel BDI exe...
Dhirendra Singh, Sebastian Sardiña, Lin Pad...