Two types of combining strategies were evaluated namely combining skin features and combining skin classifiers. Several combining rules were applied where the outputs of the skin classifiers are combined using binary operators such as the AND and the OR operators, “Voting”, “Sum of Weights” and a new neural network. Three chrominance components from the YCbCr colour space that gave the highest ...

Protein-protein interaction extraction is a challenging information extraction task in the BioNLP field. Several kernels focusing on a part of syntactic information have been proposed for the task. In this paper, we propose a method to combine multiple layers of syntactic information by using a combination of multiple kernels based on several different parsers. We evaluated the method using sup...

Document classification tasks were primarily tackled at word level. Recent research that works with character-level inputs shows several benefits over word-level approaches such as natural incorporation of morphemes and better handling of rare words. We propose a neural network architecture that utilizes both convolution and recurrent layers to efficiently encode character inputs. We validate t...

Convolutional Networks (ConvNets) are powerful models that learn hierarchies of visual features, which could also be used to obtain image representations for transfer learning. The basic pipeline for transfer learning is to first train a ConvNet on a large dataset (source task) and then use feed-forward units activation of the trained ConvNet as image representation for smaller datasets (target...

CCTV systems have been introduced in most public spaces in order to increase security. Video outputs are observed by human operators if possible but mostly used as a forensic tool. Therefore it seems desirable to automate video surveillance systems, in order to be able to detect potentially dangerous situations as soon as possible. Multi camera systems have seem to be the prerequisite for huge ...

We describe a new application for NLG technology: the generation of indicative, abstractive summaries of multi-party meetings. Based on the freely available AMI corpus of 100 hours of recorded meetings, we are developing a summarizer that uses the rich annotations in the AMI corpus.

given the reduced freshwater supplies across the world, seawater desalination is one of the appropriate methods available for producing freshwater. selecting an optimal location is crucial in the installation of these plants owing to the environmental problems they cause. the present study was conducted to identify optimal locations for installing desalination plants in the coastal areas of sou...

it is very important to recognize the areas with high potential risk of landslide in order to resist that. in a case study, thirty three landslides have been observed in safarood watershed. the purpose of this study is to recognize factors and zonation of potential areas for landslide. this paper covers specific factors including lithology, fault, height, slope, direction, rainfall, soil, veget...

This paper presents an optimal adaptive modulation (AM) algorithm using a cross-layer approach which combines truncated Automatic repeat request (ARQ) protocol and packet combining. Transmissions are performed on WiMAX over multiple-input multiple output (MIMO) Nakagami fading channels. Orthogonal frequency division multiplexing (OFDM) system is used. The data is transmitted in the form of pack...