PDF Ebook about: Polyedrale
Polyedrale
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7 documents available in our comprehensive collection of Polyedrale resources. Find practical guides, tutorials, and documentation to enhance your knowledge.
Modular and lightweight certification of polyhedral abstract domains. (abstract-30.pdf)
193 KBEN 2 pages
The authors propose a modular and lightweight certification of polyhedral abstract domains for static analysis of programs.
PolySA: Polyhedral-Based Systolic Array Auto-Compilation (polysa_iccad18.pdf)
2.72 MBEN 8 pages
PolySA is a polyhedral-based systolic array auto-compilation framework that generates high-performance systolic array architectures on FPGAs.
Polyhedral Outer Approximations with Application to Natural Language Parsing (icml2009.pdf)
256 KBEN 8 pages
It establishes risk bounds for max-margin learning with LP relaxed inference and proposes a new paradigm to penalize "time-consuming" hypotheses.
link.springer.com (publisher PDF) (10.1007s10801-012-0414-9.pdf)
757 KBEN 24 pages
Researchers generalized an identity on generating functions of symmetrically constrained compositions of integers to a family of convex polyhedral cones...
Télécharger le fichier (ddr-poincare.pdf)
530 KBEN 25 pages
Daniele Di Pietro and Marien-Lorenzo Hanot prove Poincaré inequalities for the Discrete de Rham sequence on a general connected polyhedral domain Ω of R3,...
The Extended Linear Complementarity Problem and Its Applications in Max-Plus Algebra (95_61.pdf)
374 KBEN 19 pages
This technical report by K.U.Leuven's Department of Electrical Engineering explores the Extended Linear Complementarity Problem (ELCP) and its applications within the max-plus algebra, offering insights into their research and survey of this area.
Compounded Corruption: A Fast and Effective Data Augmentation Technique for Out-of-Distribution Sample Detection (2207.13916.pdf)
4.72 MBEN 43 pages
A novel data augmentation technique, Compounded Corruptions (CnC), creates synthetic out-of-distribution samples by corrupting in-distribution data, enabling the training of effective OOD detection classifiers without requiring labeled OOD examples.
Popular Keywords
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