No abstract

A variation of the Almost Ideal Demand System was employed to determine the impacts of total food expenditure, income, food prices, household size, and demographic variables on household demand for convenience and nonconveninece foods in the United States. The budget shares are generally more responsive to prices than to real total expenditure. Additionally, the quantities demanded of convenience and nonconvenience foods are generally more sensitive to changes in income and own-prices than to changes in cross-prices. With regard to demographic variates, primary users of convenience foods are white households with employed household managers less than 35 years of age.

W e introduce a novel directional multidimensional Hilbert transform and use at to define the complex-valued analytic image associated with a real-valued image. The analytic image associates a unique pair of instantaneous amplitude and frequency functions with a n image, and also admits many of the other important properties of the onedimensional analytic signal.

We propose a new couplet of identity and view manifolds for multi-view shape modeling that is applied to automated target tracking and recognition (ATR). The identity manifold captures both inter-class and intra-class variability of target shapes, while a hemispherical view manifold is involved to account for the variability of viewpoints. Combining these two manifolds via a non-linear tensor decomposition gives rise to a new target generative model that can be learned from a small training set. Not only can this model deal with arbitrary view/ pose variations by traveling along the view manifold, it can also interpolate the shape of an unknown target along the identity manifold. The proposed model is tested against the recently released SENSIAC ATR database and the experimental results validate its efficacy both qualitatively and quantitatively.

No abstract

No abstract

Descriptions of adult equivalent scale models typically do not explain why or provide the explicit rationale underlying their selected age classes and life cycle components. A model is presented where the life cycle is comprised of a sequence of developmental and transitional phases. A comparison of adult scale parameter estimates for total food expenditure from this model is made with estimates from the Blokland and Buse-Salathe models. The findings suggest that the Blokland model is too restrictive to portray consumer behavior over the life cycle. Empirical results based on the proposed model are similar to those based on the Buse-Salathe model.

We compute AM-FM representations for multicomponent, nonstationary images using a statistical component model. Components are isolated with a filterbank comprising frequency and orientation selective channels. The modulating functions for each component are estimated from the channel responses using localized nonlinear operators followed by optimal MMSE estimators. We also demonstrate reconstruction from the representation.