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...

A machine vision-based automated corn harvester has been developed at the University of Illinois. The automated combine was field tested during 1999. Key modifications to the vehicle included upgrades to the electrical system and the hydraulic system. The basic guidance methodology utilized fuzzy logic to a) determine when to stop processing b) to evaluate image processing results and c) to cal...

In many realistic face recognition applications, such as surveillance photo identification, the subjects of interest usually have only a limited number of image samples a-priori. This makes the recognition a difficult task, especially when only one image sample is available for each subject. In such a case, the performance of many well known face recognition algorithms will deteriorate rapidly ...

Percutaneous electrical nerve stimulation (PENS) and percutaneous neuromodulation therapy (PNT) are therapies that combine the features of electroacupuncture and transcutaneous electrical nerve stimulation (TENS). PENS is performed with a few needle electrodes while PNT uses very fine needle-like electrode arrays that are placed in close proximity to the painful area to stimulate peripheral sen...