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SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
14 years 6 months ago
CORE: Nonparametric Clustering of Large Numeric Databases.
Current clustering techniques are able to identify arbitrarily shaped clusters in the presence of noise, but depend on carefully chosen model parameters. The choice of model param...
Andrej Taliun, Arturas Mazeika, Michael H. Bö...
ICRA
2009
IEEE
121views Robotics» more  ICRA 2009»
14 years 3 months ago
Learning sequential visual attention control through dynamic state space discretization
² Similar to humans and primates, artificial creatures like robots are limited in terms of allocation of their resources to huge sensory and perceptual information. Serial process...
Ali Borji, Majid Nili Ahmadabadi, Babak Nadjar Ara...
IROS
2009
IEEE
168views Robotics» more  IROS 2009»
14 years 3 months ago
A stream-based hierarchical anchoring framework
— Autonomous systems situated in the real world often need to recognize, track, and reason about various types of physical objects. In order to allow reasoning at a symbolic leve...
Fredrik Heintz, Jonas Kvarnström, Patrick Doh...
ADBIS
2009
Springer
127views Database» more  ADBIS 2009»
14 years 3 months ago
Window Update Patterns in Stream Operators
Continuous queries applied over nonterminating data streams usually specify windows in order to obtain an evolving –yet restricted– set of tuples and thus provide timely result...
Kostas Patroumpas, Timos K. Sellis
ATVA
2009
Springer
149views Hardware» more  ATVA 2009»
14 years 3 months ago
A Decompositional Proof Scheme for Automated Convergence Proofs of Stochastic Hybrid Systems
In this paper, we describe a decompositional approach to convergence proofs for stochastic hybrid systems given as probabilistic hybrid automata. We focus on a concept called “st...
Jens Oehlerking, Oliver E. Theel