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SAS
2000
Springer
13 years 8 months ago
A Transformational Approach for Generating Non-linear Invariants
Computing invariants is the key issue in the analysis of infinite-state systems whether analysis means testing, verification or parameter synthesis. In particular, methods that all...
Saddek Bensalem, Marius Bozga, Jean-Claude Fernand...
AIIA
2009
Springer
13 years 8 months ago
Local Kernel for Brains Classification in Schizophrenia
Abstract. In this paper a novel framework for brain classification is proposed in the context of mental health research. A learning by example method is introduced by combining loc...
Umberto Castellani, E. Rossato, Vittorio Murino, M...
CAV
2008
Springer
161views Hardware» more  CAV 2008»
13 years 6 months ago
Constraint-Based Approach for Analysis of Hybrid Systems
Abstract. This paper presents a constraint-based technique for discovering a rich class of inductive invariants (boolean combinations of polynomial inequalities of bounded degree) ...
Sumit Gulwani, Ashish Tiwari
ICANN
2003
Springer
13 years 10 months ago
Sparse Coding with Invariance Constraints
We suggest a new approach to optimize the learning of sparse features under the constraints of explicit transformation symmetries imposed on the set of feature vectors. Given a set...
Heiko Wersing, Julian Eggert, Edgar Körner
INFOCOM
2006
IEEE
13 years 11 months ago
Accelerating Simulation of Large-Scale IP Networks: A Network Invariant Preserving Approach
— In this paper, we propose a simulation framework, TranSim, that reduces the rate at which packet-events are generated, in order to accelerate large-scale simulation of IP netwo...
Hwangnam Kim, Hyuk Lim, Jennifer C. Hou