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TSP
2010
15 years 1 months ago
Joint detection and estimation of multiple objects from image observations
The problem of jointly detecting multiple objects and estimating their states from image observations is formulated in a Bayesian framework by modeling the collection of states as ...
Ba-Ngu Vo, Ba-Tuong Vo, Nam-Trung Pham, David Sute...
ICML
2009
IEEE
16 years 7 months ago
Proto-predictive representation of states with simple recurrent temporal-difference networks
We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...
Takaki Makino
ICTAI
2007
IEEE
16 years 24 days ago
A Methodology for Reader's Emotional State Extraction to Augment Expressions in Speech Synthesis
This paper presents a methodology for the real-time extraction of readers’ emotional state from documents as well as the representation of emotionally annotated documents into a...
Dimitrios Tsonos, Gerasimos Xydas, Georgios Kourou...
DDECS
2006
IEEE
88views Hardware» more  DDECS 2006»
16 years 16 days ago
Minimization of Large State Spaces using Symbolic Branching Bisimulation
Abstract: Bisimulations in general are a powerful concept to minimize large finite state systems regarding some well-defined observational behavior. In contrast to strong bisimul...
Ralf Wimmer, Marc Herbstritt, Bernd Becker
ISSTA
2006
ACM
16 years 13 days ago
Subdomain testing of units and systems with state
This paper extends basic software-testing theory to software components and adds explicit state to the theory. The resulting theory e enough to abstractly model the construction o...
Dick Hamlet