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SAS
2000
Springer
14 years 29 days 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
14 years 1 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 11 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
14 years 2 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
14 years 3 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