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5 papers · 1 filter
Learning to Recognize 3D Human Action from A New Skeleton-based Representation Using Deep Convolutional Neural Networks
Huy-Hieu Pham, Louahdi Khoudour, Alain Crouzil +2
Recognizing human actions in untrimmed videos is an important challenging task. An effective 3D motion representation and a powerful learning model are two key factors influencing…
Logic for approximate entailment in ordered universes of discourse
Francesc Esteva, Lluís Godo, Thomas Vetterlein
The Logic of Approximate Entailment (LAE) is a graded counterpart of classical propositional calculus, where conclusions that are only approximately correct can be drawn. This is a…
Clause Vivification by Unit Propagation in CDCL SAT Solvers
Chu-Min Li, Fan Xiao, Mao Luo +3
Original and learnt clauses in Conflict-Driven Clause Learning (CDCL) SAT solvers often contain redundant literals. This may have a negative impact on performance because redundant…
Maximality in finite-valued Lukasiewicz logics defined by order filters
Marcelo E. Coniglio, Francesc Esteva, Joan Gispert +1
In this paper we consider the logics obtained from the (n+1)-valued Lukasiewicz logics by taking the order filter generated by i/n as the set of designated elemen…
Toward a probability theory for product logic: states, integral representation and reasoning
Tommaso Flaminio, Lluis Godo, Sara Ugolini
The aim of this paper is to extend probability theory from the classical to the product t-norm fuzzy logic setting. More precisely, we axiomatize a generalized notion of finitely a…