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Fast action detection via discriminative random forest voting and top-K subvolume search
(Institute of Electrical and Electronics Engineers, 2011-06)
Multiclass action detection in complex scenes is a challenging problem because of cluttered backgrounds and the large intra-class variations in each type of actions. To achieve efficient and robust action detection, we ...
Early error detection: an action-research experience teaching vector calculus
(Taylor & Francis, 2013-10)
This paper describes an action-research experience carried out with second year students at the School of Engineering of the National University of Entre Ríos, Argentina. Vector calculus students played an active role in ...
Real-time Action Recognition Using A Multilayer Descriptor With Variable Size
(IS&T & SPIEBELLINGHAM, 2016)
Real-time Action Recognition Using A Multilayer Descriptor With Variable Size
(IS&T & SPIEBellingham, 2016)
Poder de control empresarial mediante detectives privados y validez de sus pruebas
In this work, it is carried out an analysis of the value of the reports made by private detectives in the workplace, both from the point of view of respecting the limits in the action carried out by the private detective ...
Facial action unit detection with convolutional neural networks
(UniandesMaestría en Ingeniería BiomédicaFacultad de IngenieríaDepartamento de Ingeniería Biomédica, 2017)
We propose a novel deep convolutional neural network architecture to study the problem of action unit detection. We leverage recent gains in large-scale object recognition by formulating the task of predicting the presence ...
Direct detection of underivatized chitooligosaccharides produced through chitinase action using capillary zone electrophoresis
(ACADEMIC PRESS INC ELSEVIER SCIENCE, 2008)
Capillary electrophoresis with capacitively coupled contactless conductivity detection was successfully used to quantify N-acetylglucosamine and five N-acetyl-chitooligosaccharides (C2-C6) produced after reaction with a ...
Modelo para predição de ações e inferência de situações de risco em ambientes sensíveis ao contexto
(Universidade Federal de Santa MariaBRCiência da ComputaçãoUFSMPrograma de Pós-Graduação em Informática, 2015-07-31)
The availability of low cost sensors and mobile devices allowed many advances in
research of ubiquitous and pervasive computing area. With the capture of contextual data provided
by the sensors attached to these devices ...