نتایج جستجو برای: componenet
تعداد نتایج: 17 فیلتر نتایج به سال:
Independent component analysis (ICA) is a computational mehtod to solve blind source separation (BSS) problem. Different kinds of classic measure can be used for the estimation of nonGaussian sources by ICA. In this paper we review independent componenet analysis (ICA) technique based on Kurtosis contrast function. We briefly present the common independent component analysis algorithms that use...
Professional Development is critical for improving and maintaining teacher quality and the effect flows on into the classroom. Factors influencing the success of Professional Development activities include potential for workplace change, the diverse effect and understanding of adult learning principles, subject specificity, effective mentoring and the relevance of the presented material. Releva...
This paper presents a novel, general and intelligent approach to multiresponse process optimisation, whose purpose is to obtain a single optimum setting of process parameters that meets specifications of all considered, possibly correlated, responses. The approach is based on Taguchi quality loss function, multivariate statistical methods: Principal componenet analysis and Grey relational analy...
abstract reference evapotranspiration (eto) is an essential parameter required for proper management of agricultural crop irrigation. eto is influenced by many different hydrological variables and as a result is a very complex procces. eto is usually estimated by empirical or process-orinented models (mathematical relationships) from historical weather data. the need for accurate estimates of e...
In this paper, we present a summary of our ongoing research on the classification of hyperspectral images. We are experimenting with both supervised and unsupervised algorithms. In particular, we have developed an unsupervised classification algorithm based on Independent Component Analysis (ICA). This algorithm is known as the ICA mixture model (ICAMM) algorithm and has shown promising results...
We propose a novel local appearance modeling method for object detection and recognition in cluttered scenes. The approach is based on the joint distribution of local feature vectors at multiple salient points and factorization with Independent Componenet Analysis (ICA). The resulting densities are simple multiplicative distributions modeled through adaptive Gaussian mixtures. This leads to com...
E-learning plays the major role for gathering the best kind of knowledge through online. Semantic based Elearning methodology provides the rich learning content extracted from various web resources. It is most suitable and effective for content processing and retrieving methodologies. Ontology is defined as a representation of a shared conceptualization of a particular domain and is a major com...
PURPOSE Esotropia is a feature of albinism. Amongst esotropic patients there may be mild unrecognised albinos. Oculocutaneous albinism shares several clinical features with congenital esotropia. It is well known that mammals with oculocutaneous albinism have misrouted retinal ganglion cell axons, most likely caused by the absence of melanin or DOPA during development. We investigated the hypoth...
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