Automatic emotional state detection using facial expression dynamic in videos

In this paper, an automatic emotion detection system is built for a computer or machine to detect the emotional state from facial expressions in human computer communication. Firstly, dynamic motion features are extracted from facial expression videos and then advanced machine learning methods for classification and regression are used to predict the emotional states. The system is evaluated on two publicly available datasets, i.e. GEMEP_FERA and AVEC2013, and satisfied performances are achieved in comparison with the baseline results provided. With this emotional state detection capability, a machine can read the facial expression of its user automatically. This technique can be integrated into applications such as smart robots, interactive games and smart surveillance systems

A Robust Rational Route to in a Simple Asset Pricing Model (revised March 2004)

We investigate asset pricing dynamics in an adaptive evolutionary asset pricing model with fundamentalists, trend followers and a market maker. Agents can choose between a fundamentalist strategy at positive information cost or choose a trend following strategy for free. Price adjustment is proportional to the excess demand in the asset market. Agents asynchronously update their strategy according to realized net profits in the recent past. As agents become more sensitive to differences in strategy performance, the fundamental steady state becomes unstable and multiple steady states may arise. As the traders' sensitivity to differences in fitness increases, a bifurcation route to chaos sets in due to homoclinic bifurcations of stable and unstable manifolds of the fundamental steady state.

Debt and Equity Yields: 1926-80

The study is divided into four broad parts, beginning with an exploratory analysis of the data on expost returns on corporate equities and bonds for the 1926-80 period. In Part 2, we estimate the relationships between one-month expost returns on corporate bonds and equities andvariations in Treasury bill rates, economic activity, and other variables.The major other variable is unanticipated changes in new issue coupon rates on long-term Treasury bonds. Parts 3 and 4 contain econometric investigations of the determinants of one-month Treasury bill rates and unanticipated changes in long-term Treasury coupon rates, respectively. These parts extend the analysis of Part 2 by explaining variables that determine expost corporate bond and equity returns and provide evidence on the determination of new-issue yields on short- and long-term default-free debt. The last three parts ofthe study report econometric results based on data from the 1953-83 period.A number of important issues are addressed in the econometric parts of the paper. These include: the validity of the Modigliani-Cohn valuation-error hypothesis, the measurement of Merton's "excess return on the market", the relationship between real new-issue debt rates and real economic activity, and the usefulness of the Livingston survey data in explaining financial returns.

Remark on approximation in the calculation of the primordial spectrum generated during inflation

We re-examine approximations in the analytical calculation of the primordial spectrum of cosmological perturbation produced during inflation. Taking two inflation models (chaotic inflation and natural inflation) as examples, we numerically verify the accuracy of these approximations.Comment: 10 pages, 6 figures, to appear in PR