نتایج جستجو برای: recognizing algorithms

تعداد نتایج: 355938  

Journal: :Academic Medicine 2017

Journal: :Discrete & Computational Geometry 2017

Journal: :Journal of Food Science 2006

Journal: :Discrete Applied Mathematics 1983

Journal: :International Journal of Foundations of Computer Science 2021

A graph [Formula: see text] is well-covered if all its maximal independent sets are of the same cardinality. Assume that a weight function defined on vertices. Then text]well-covered weight. For every text], set functions such text]-well-covered vector space, denoted as WCW(G). Deciding whether an input co-NP-complete. Therefore, finding WCW(G) co-NP-hard. generating subgraph induced complete b...

2002
Marcus Schaefer Eric Sedgwick Daniel Stefankovic

We derive several algorithms for curves and surfaces represented using normal coordinates. The normal coordinate representation is a very succinct representation of curves and surfaces. For embedded curves, for example, its size is logarithmically smaller than a representation by edge intersections in a triangulation. Consequently, fast algorithms for normal representations can be exponentially...

2005
Loek G. Cleophas Kees Hemerik Gerard Zwaan

Tree pattern matching (tpm) algorithms play an important role in practical applications such as compilers and XML document validation. Many tpm algorithms based on tree automata have appeared in the literature. For reasons of efficiency, these automata are preferably deterministic. Deterministic root-to-frontier tree automata (drftas) are less powerful than nondeterministic ones, and no root-to...

2013
AHMAD TAHERKHANI LAURI MALMI

In this paper, we present a method for recognizing algorithms from students’ programming submissions coded in Java. The method is based on the concept of programming schemas and beacons. Schemas are high-level programming knowledge with detailed knowledge abstracted out, and beacons are statements that imply specific structures in a program. The method automatically searches for schemas from th...

Journal: :Pattern Recognition Letters 2012
Ling Shao Ling Ji Yan Liu Jianguo Zhang

In this paper, we present an automated video analysis system which addresses segmentation and detection of human actions in an indoor environment, such as a gym. The system aims at segmenting different movements from the input video and recognizing the action types simultaneously. Two action segmentation techniques, namely color intensity based and motion based, are proposed. Both methods can e...

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