A robust method for pricing options at strikes where there is not an observed price is a vital tool for the pricing, hedging, and risk management of derivatives. All institutions that trade derivatives will have an approach to this task. Typical examples might be a simple interpolation scheme across implied volatilities, or the use of a modelbased formula optimized to fit observed prices. It is...

We describe a discrete time probability logic for use as the representation language of a temporal knowledge base In addition to the usual expressive power of a discrete temporal logic our language allows for the speci cation of non universal generaliza tions in the form of statistical assertions This is similar to the probability logic of Bacchus but di ers in the inference mech anisms In part...

Wooded meadows are seminatural plant communities that support high diversity of various taxa. Due to changes in land use, wooded meadows have severely declined during the last century. The dominant trees in wooded meadows acquire mineral nutrients via ectomycorrhizal fungi. Using anatomotyping and sequencing of root tips, interpolation and extrapolation methods, we studied the diversity and com...

Wavefield extrapolation by spatially variable phase shift is currently a migration tool of importance. In this paper, we present a new prestack seismic migration algorithm using the Gabor transform with application to the Marmousi acoustic dataset. The imaging results show a very promising depth imaging algorithm, which is competitive with the best depth imaging algorithms. The Gabor depth imag...

Sensorimotor systems face complex and frequent discrepancies among spatial modalities, for example, growth, optical distortion, and telemanipulation. Adaptive mechanisms must act continuously to restore perceptual-motor alignments necessary for perception of a coherent world. Experimental manipulations that exposed participants to localized discrepancies showed that adaptation is revealed by th...

Today there is considerable interest in surgical simulators for training, operation planning, and outcome prediction. Surgical simulation often involves real-time computation of the deformations of visco-elastic human-body tissues and providing users with both graphic and haptic rendering. As humans are more sensitive to small haptic discrepancies than visual ones, good force rendering requires...

Traditional approaches to interpolate/extrapolate frames in a video sequence require accurate pixel correspondences between images, e.g., using optical flow. Their results stem on the accuracy of optical flow estimation, and could generate heavy artifacts when flow estimation failed. Recently methods using auto-encoder has shown impressive progress, however they are usually trained for specific...

View synthesis involves use of existing images to generate virtual images at varying viewpoints. With the advancements in digital media, virtual view generation has gained much attention. It is widely being used in computer generated animations where it is required to transform one object into another, or to observe the same object from a different point of view. A variety of techniques exist, ...

Constructing an accurate predictive model for clinical decision-making on the basis of a relatively small number of tumor samples with high-dimensional microarray data remains a very challenging problem. The validity of such models has been seriously questioned due to their failure in clinical validation using independent samples. Besides the statistical issues such as selection bias, some stud...

Gaussian processes are typically used for smoothing and interpolation on small datasets. We introduce a new Bayesian nonparametric framework – GPatt – enabling automatic pattern extrapolation with Gaussian processes on large multidimensional datasets. GPatt unifies and extends highly expressive kernels and fast exact inference techniques. Without human intervention – no hand crafting of kernel ...