Byzantine church design depended heavily on natural light which was used for evocative purposes. The orientation of the main axis of the church, the form of the apse and the location and size of its windows are affected by the need for sunlight to shine at the altar on a desired time and for a certain duration. Until now the process of accurately taking account of all the above parameters has b...

Bayesian and frequentist methods differ in many aspects, but share some basic optimality properties. In practice, there are situations in which one of the methods is more preferred by some criteria. We consider the case of inference about a set of multiple parameters, which can be divided into two disjoint subsets. On one set, a frequentist method may be favored and on the other, the Bayesian. ...

With the rapid growth of multimedia content in wireless communication, there is an increasing demand for efficient image and video transmission systems. We present a joint source-channel matching scheme for wireless video transmission which jointly optimizes the source and channel coder to yield the optimal transmission quality while satisfying real-time delay and buffer constraints. We utilize...

The covariance function in time series models is typically modeled via a parametric family. This ensures straightforward linear prediction while maintaining positive-de niteness of the covariance function. We suggest an alternative approach, which will result in data-determined shrinkage towards this parametric model. Positive-de niteness is maintained by carrying out the shrinkage in the spect...

Learning a deep model from small data is yet an opening and challenging problem. We focus on one-shot classification by deep learning approach based on a small quantity of training samples. We proposed a novel deep learning approach named Local Contrast Learning (LCL) based on the key insight about a human cognitive behavior that human recognizes the objects in a specific context by contrasting...

Global weak continuity of M-functionals in a neighbourhood of the parametric distribution is established. This has implications for robustness of M-estimators vis a vis definitions put forward by Hampel. For instance the Tukey bisquare location estimator is robust on neighbourhoods of the parametric model, but the median is not. 2000 Mathematics subject classification: primary 62G35; secondary ...

Choosing between two income distribution models typically involves testing two non-nested hypotheses, that is hypotheses such that one cannot be obtained as a special or limiting case of the other. Cox (1961, 1962) proposed a classical testing procedure based on the comparison of the maximized likelihood functions for the two models. In this paper it is shown that such a procedure is not robust...

This work was part of the course EC520. The objective of this project is to develop an algorithm for the detection and enumeration of crabs on beach. The basic method is background modeling and background subtraction. Based on several previous frames, the background of current frame can be estimated using median model or non-parametric model. Morphological operation is applied to foreground ima...

We introduce a parametric model of other-regarding preferences. The income distribution, other status considerations, and the kindness or unkindness of others’ choices (“intentions”) systematically affect a person’s emotional state. The emotional state then determines the marginal rate of substitution between own and others’ payoffs, and thus the person’s subsequent choices. Model applications ...