In this paper, a novel method for tracking multiple soccer players based on a support vector machine (SVM) and a particle filter is proposed for a monocular fixed soccer video. This paper considers three main topics. First, the state of a particle filter presented in a 3D world coordinate space, instead of a 2D image coordinate space, provides a more realistic model tracking because depth consi...

A probabilistic interpretation for the output obtained from a tri-class Support Vector Machine into a multi-classification problem is presented in this paper. Probabilistic outputs are defined when solving a multi-class problem by using an ensemble architecture with tri-class learning machines working in parallel. This architecture enables the definition of an ‘interpretation’ mapping which wor...

This paper aims to assess the application of Support Vector Machine (SVM) regression in order to analysis flexible pavements. To this end, 10000 Four-layer flexible pavement sections consisted of asphalt concrete layer, granular base layer, granular subbase layer, and subgrade soil were analyzed under the effect of standard axle loading using multi-layered elastic theory and pavement critical r...

In this paper, we present a high accurate system for FrameNet semantic role classification based on the innovative features derived from a combined use of FrameNet, VerbNet and PropBank. The main property of our approach is a unified view of the above three resources which is theoretically supported by the linking theory. Experiments on Support Vector Machines (SVM) show that our system classif...

I|85LdBj$H$O!$?.9f$,;(2;Ey$K$h$jNt2=$5$l$?$H$-!$85$N?.9f$r5a$a$kLdBj$r;X$9!% 65;U$,!$71N}%5%s%W%k$r<1JL$7%/%i%9%i%Y%k$r$D$1$k2aDx$r!$<1JL4X?t$NNt2=$H$H$i$( $l$P!$<1JL4o$N3X=,$O!$%/%i%9%i%Y%k$+$i<1JL4X?t$r5a$a$kI|85$G$"$k$H9M$($i$l$k!%K\ 9F$G$O!$=>Mh$N%5%]!<%H%Y%/%?!<%^%7%s (SVM) $K$*$1$k3X=,$r!$65;U%b%G%k$K;(2;$r4^ $^$J$$>l9g$NI|85$H$7$FDj<02=$7!$$=$l$K$b$H$E$-!$;(2;$r4^$‘>l9g$K3HD%$9$k!%$=$N7k...

A two pronged strategy, one involving the Support Vector Machine (SVM) as the classifier and the other including physicochemical properties as additional features, is proposed and implemented here for improved prediction of multi-domains in protein chains. It is experimentally observed to have achieved an accuracy of 76.46 after 25 fold cross validation of results on curated data, derived from ...

Due to its various negative consequences impervious surface is increasingly recognized as a key issue in assessing the sustainability of land use – particularly in urban environments. In Germany, a regional or state-wide method for an accurate, fast and cost-effective quantification and assessment of impervious surfaces is still missing. Thus, we researched into the characterization of impervio...

In recent years, the supply chain managements have been paid more and more attention. The supply chain risk management is an important content for enterprises implementing supply chain management. Therefore, how to measure the risk of supply chain is quite important. In this study, a supply chain risk evaluation model based on support vector machines and two-dimensional risk matrix is proposed....