Gesture and Speech based human Computer interaction is attractive attention across various areas such as pattern recognition, computer vision. Thus kind of research areas find many kind of application in Multimodal HCI, Robotics control, Sign language recognition. This paper presents head and hand Gesture as well as Speech recognition system for human computer interaction (HCI).This kind of vis...

Information on the rankings and information on the approval of candidates in an election, though related, are fundamentally different—one cannot be derived from the other. Both kinds of information are important in the determination of social choices. We propose a way of combining them in two hybrid voting systems, preference approval voting (PAV) and fallback voting (FV), that satisfy several ...

Aims for this research are to analyze the adoption of combine harvester innovation in Subak Tabanan Regency, Bali Province covering diffusion process, influencing factors and consequences adoption. The process will be analyzed using descriptive statistics. were that influence infrensial statistics, namely PLS SEM model. results study include starting 2009, which began with a trial by Regency go...

The NFL Combine measures a variety of physical abilities. This research questions the overall usefulness of the event by focusing on both current and past players of QB, WR, and RB positions, who have performed at NFL Scouting Combine from 2000 to 2010. Statistical methods using the idea of multilinear regression, random forest and hypothesis testing on correlations between one’s Combine measur...

The classification of remote sensing images performed with different classifiers usually produces different results. The aim of this paper is to investigate whether the outputs of different soft classifications may be combined to increase the classification accuracy, using the uncertainty information to choose the best class to assign to each pixel. If there is disagreement between the outputs ...

Mariagrazia Di Marco1 Shaharum Shamsuddin2 Khairunisak Abdul razak3 Azlan Abdul Aziz4 Corinne Devaux1 elsa Borghi1 Laurent Levy1 Claudia Sadun5 1Nanobiotix, Paris, France; 2School of Health Sciences, Health Campus Universiti Sains Malaysia, Kelantan, Malaysia; 3School of Materials and Mineral resources engineering, engineering Campus, 4School of Physics, Universiti Sains Malaysia, Penang, Malay...

This paper describes a failed attempt to decompose the fusion of two non-normal modal logics as a composition of iterated nonnormal modalisations. That strategy had already succeeded in the transfer of soundness, completeness and decidability for normal modal logics, but we show here why it fails for the transference of some of these properties in the fusion non-normal modal logics. The possibi...

This paper presents a reranking approach to combining constituent and dependency parsing, aimed at improving parsing performance on both sides. Most previous combination methods rely on complicated joint decoding to integrate graphand transition-based dependency models. Instead, our approach makes use of a high-performance probabilistic context free grammar (PCFG) model to output k-best candida...

We give general definitions of logical frameworks and logics. Examples include the logical frameworks LF and Isabelle and the logics represented in them. We apply this to give general definitions for equivalence of logics, translation between logics, and combination of logics. We also establish general criteria for the soundness and completeness of these. Our key messages are that the syntax an...

We propose a general method to combine several estimators of the same quantity in order to produce a better estimate. In the spirit of model and forecast averaging, the final estimator is computed as a weighted average of the initial ones, where the weights are constrained to sum to one. In this framework, the optimal weights, minimizing the quadratic loss, are entirely determined by the mean s...