Over the last couple of years, face recognition researchers have been developing new techniques. These developments are being fueled by advances in computer vision techniques, computer design, sensor design, and interest in fielding face recognition systems. Such advances hold the promise

ABSTRACT. Recent meta-analyses and other studies of media influence on learning are reviewed. Consistent evidence is found for the generalization that there are no learning benefits to be gained from employing any specific medium to deliver instruction. Research showing performance or time

-ordering heuristic, the min-conflicts heuristic, that attempts to minimize the number of constraint violations after each step. The heuristic can be used with a variety of different search strategies. We demonstrate empirically that on the n-queens problem, a technique based on this approach performs orders

. Criteria for evaluating the performance of the various security-control methods are identified. Security-control methods that are based on each of the four approaches are discussed, together with their performance with respect to the identified evaluation criteria. A detailed comparative analysis

high-speed long-latency networks into steady, efficient and fair operating points, in dynamic sharing environments, and the preliminary results are promising.

Random Fields (MRF’s), the resulting energy minimization problems were widely viewed as intractable. Recently, algorithms such as graph cuts and loopy belief propagation (LBP) have proven to be very powerful: for example, such methods form the basis for almost all the top-performing stereo methods

changes. Below, we investigate the determinants of credit spread changes. From a contingent-claims, or noarbitrage standpoint, credit spreads obtain for two fundamental reasons: 1) there is a risk of default, and 2) in the event of default, the bondholder receives only a portion of the promised payments

). The book provides a detailed account of how structural flaws in corporate governance have enabled managers to influence their own pay and have produced widespread distortions in pay arrangements. The book also examines how these flaws and distortions can best be addressed. Part IV of the book discusses how executive compensation -and corporate governance more generally -can be improved. We examine the extent to which pay arrangements can be improved by adopting board process rules, imposing shareholder approval requirements, and making pay more transparent. We conclude that problems with compensation arrangements cannot be fully addressed without ensuring that directors focus on shareholder interests and operate at arm's length from the executives whose compensation they set. To achieve this result, we argue, it is not sufficient to make directors independent of executives as recent reforms has sought to do; it is also necessary to make directors dependent on shareholders by changing the legal arrangements that insulate boards from shareholders.

A critical issue for users of Markov Chain Monte Carlo (MCMC) methods in applications is how to determine when it is safe to stop sampling and use the samples to estimate characteristics of the distribution of interest. Research into methods of computing theoretical convergence bounds holds promise

channels. It is found that, in contrast to low density parity check codes and convolutional codes, product accumulate (PA) codes can provide outstand-ing bit error rate performance improvement to the existing SIMO FM-DCSK system. In this paper, moreover, the optimum code rate for the PA-coded SIMO FM