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» Decidability of inferring inductive invariants
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CVPR
2008
IEEE
14 years 8 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
FMCAD
2008
Springer
13 years 8 months ago
Automatic Non-Interference Lemmas for Parameterized Model Checking
Parameterized model checking refers to any method that extends traditional, finite-state model checking to handle systems arbitrary number of processes. One popular approach to thi...
Jesse D. Bingham
ESOP
2007
Springer
13 years 10 months ago
Type Reconstruction for General Refinement Types
Abstract. General refinement types allow types to be refined by predicates written in a general-purpose programming language, and can express function pre- and postconditions and d...
Kenneth W. Knowles, Cormac Flanagan
TLCA
1997
Springer
13 years 10 months ago
Coinductive Axiomatization of Recursive Type Equality and Subtyping
We present new sound and complete axiomatizations of type equality and subtype inequality for a first-order type language with regular recursive types. The rules are motivated by ...
Michael Brandt, Fritz Henglein
TOPLAS
2008
81views more  TOPLAS 2008»
13 years 6 months ago
Size-change termination with difference constraints
lem of inferring termination from such abstract information is not the halting problem for programs and may well be decidable. If this is the case, the decision algorithm forms a &...
Amir M. Ben-Amram