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For example, a Bayesian network could represent the probabilistic relationships between diseases and symptoms.Backpropagation is a common method of training artificial neural networks so as to minimize the objective function. Bryson and Yu-Chi Ho described it as a multi-stage dynamic system optimization method in 1969. In machine learning and statistics, classification is the problem of identifying which of a set of categories (sub-populations) a new observation belongs, on the basis of a training set of data containing observations (or instances) whose category membership is known.Transforming the input data into the set of features is called feature extraction.A Bayesian network, Bayes network, belief network, Bayes(ian) model or probabilistic directed acyclic graphical model is a probabilistic graphical model (a type of statistical model) that represents a set of random variables and their conditional dependencies via a directed acyclic graph (DAG).Our technique offers several benefits: it estimates a more detailed model of per-pixel surface reflectance parameters than previous work, it requires a relatively small number of measurements, it is applicable to a wide range of material types, and it is completely viewpoint independent.ABSTRACT: We present a practical approach to capturing ear-to-ear face models comprising both 3D meshes and intrinsic textures (i.e. Our approach is a hybrid of geometric and photometric methods and requires no geometric calibration.We use uncalibrated multiview stereo to estimate a coarse base mesh to which the photometric views are registered.

" The attitude of mind is of the form "How certain are we that the event will occur?We interpolated a geospectrally decomposed 5 meter (m) Rapid Eye™, Red Edge, Normalized Difference Vegetation Index (NDVI), unmixed, endmember, biosignature of a georeferenced, larval habitat of Similium damnosum s.l.,a black fly vector of onchocerciasis.We did so to identify unknown, unsampled, prolific, habitats in African riverine environments. damnosum s.l.larval habitat was initially geosampled in a riverine village in Burkina Faso and overlaid onto the 5m resolution data.A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source.One of the ways to do this is by comparing selected facial features from the image and a facial database.The method is based on a novel analysis of the Stokes reflectance field of circularly polarized spherical illumination and yields per-pixel estimates of diffuse albedo, specular albedo, index of refraction, and specular roughness of isotropic BRDFs.