The electroencephalogram (EEG) signal, acquired on the scalp, has been extensively used to understand cognitive function, and in particular attention. However, this type of signal has several drawbacks in a context of Physiological Computing, being susceptible to noise and requiring the use of impractical head-mounted apparatuses, which impacts normal human-computer interaction. For these reaso...

Today’s knowledge workers regularly face ill-structured, non-routine wicked problems such as strategy development, product innovation or policy design. Morphological analysis (MA) is a versatile problem structuring method that helps teams to build a shared understanding of an issue, generate solution ideas and support decision-making. However, existing MA software has two major drawbacks given ...

In contrast to some other strains, Candida albicans 1001 gave rise, upon UV irradiation, to mutants displaying a 'rough colony' morphology associated with a permanent alteration in morphogenesis which determined growth of the cells mostly as pseudohyphae. One of these mutants, C. albicans 1001FR, could form sectored (rough/smooth) colonies spontaneously, and with increasing frequency by treatme...

This paper presents LiSa, a system for morphological analysis, designed to meet the needs of the Information Retrieval (IR) community. LiSa is an acronym for Linguistic and Statistical Analysis. The system is lexiconand rule based and developed in Java. It performs lemmatization, part of speech categorization, decompounding and compound disambiguation for German, Spanish, French and English, wi...

Morphological data on two classes of neurons from mammalian midbrain have quantitatively been analyzed for dendritic shape parameters. Their frequency distributions were used to optimize the parameters of a dendritic growth model which describes dendritic morphology by a stochastic growth process of segment branching. The model assumes randomness with respect to both the selection of the branch...

The precise knowledge of trade area limits is of importance for companies that want to accurately fit their marketing strategy to local features. Many methods have been already proposed in the literature but either they are too simple or often are at the same time approximate and expensive in computer times. This paper develops the framework of a new method based on mathematical morphology, a s...

In biological sequence processing, Multiple Sequence Alignment (MSA) techniques capture information about long-distance dependencies and the three-dimensional structure of protein and nucleotide sequences without resorting to polynomial complexity context-free models. But MSA techniques have rarely been used in natural language (NL) processing, and never for NL morphology induction. Our MetaMor...

Multilingual parallel text corpora provide a powerful means for propagating linguistic knowledge across languages. We present a model which jointly learns linguistic structure for each language while inducing links between them. Our model supports fully symmetrical knowledge transfer, utilizing any combination of supervised and unsupervised data across language barriers. The proposed non-parame...

In practice, image segmentation can be performed in many areas like medical and satellite communications to detect objects and regions in the image.The texture enhancement methods representing all texture information using a single image component. In previous texture enhancement methods reduce noise or artifacts in the image to highlight the textures with the help of filters which reduces the ...

In two experiments. adults’ eye movements were monitored while they read sentences containing prefixed (e.g.. REVIVE) or pseudoprefixed (e.g.. RESCUE) words closely matched on initial letter pattern. frequency. length. and syntactic category. It was found that pseudoprefixed words received longer fixations and were associated with shorter departing saccades than prefixed words. These results su...