We study the optimal pricing for revenue maximization over social networks in the presence of positive network externalities. In our model, the value of a digital good for a buyer is a function of the set of buyers who have already bought the item. In this setting, a decision to buy an item depends on its price and also on the set of other buyers that have already owned that item. The revenue m...

Comer, Mary L. Ph.D., Purdue University, December 1995. Multiresolution Image Processing Techniques with Applications in Texture Segmentation and Nonlinear Filtering. Major Professor: Edward J. Delp. We present a new algorithm for segmentation of textured images using a multiresolution Bayesian approach. The algorithm uses a multiresolution Gaussian autoregressive (MGAR) model for the pyramid r...

This paper presents a novel technique for voice conversion by solving a two-factor task using bilinear models. The spectral content of the speech represented as line spectral frequencies is separated into so-called style and content parameterizations using a framework proposed in [1]. This formulation of the voice conversion problem in terms of style and content offers a flexible representation...

We consider the exponential utility maximization problem under partial information. The underlying asset price process follows a continuous semimartingale and strategies have to be constructed when only part of the information in the market is available. We show that this problem is equivalent to a new exponential optimization problem, which is formulated in terms of observable processes. We pr...

This paper compares the theoretical and functional specification of production in partial equilibrium (PE) and computable general equilibrium (CGE) models of the global agricultural and food system included in the AgMIP model comparison study. The two model families differ in their scope—partial versus economywide—and in how they represent technology and the behavior of supply and demand in mar...

Expected utility maximization is not a good predictive model of how people value outcomes. One of the ways in which people systematically deviate from expected utility maximization is loss aversion, where losses (relative to some reference point) are more highly weighted than gains. I investigate whether and how the theoretical guarantees of congestion games change when the agents are assumed t...

We present a new algorithm for segmentation of textured images using a multiresolution Bayesian approach. The new algorithm uses a multiresolution Gaussian autoregressive (MGAR) model for the pyramid representation of the observed image, and assumes a multiscale Markov random field model for the class label pyramid. The models used in this paper incorporate correlations between different levels...

We consider the problem of maximizing revenue when selling 2 items to a single buyer with known valuation distributions. In [1], Hart and Nisan showed that selling each item separately using the optimal Myerson’s price, gains at least half of the revenue attainable by optimal auction for two items. We show that in case the items have different revenues when sold separately the bound can be tigh...

ABSTRACT- This study aims to model optimal cultivation pattern based on the maximization of importing virtual water and social net income of major crops in Marvdasht, Iran. For this purpose, a linear programming model was developed considering constraints of virtual water and land limitations followed by other models to include employment restrictions. Based on the findings, wheat and tomato we...

The label placement problem is one of the most important problems in geographic information systems, cartography, graph drawing, and graphical interface design. In this paper, we considered the label size maximization problem for points with axes-parallel rectangular labels that correspond to character strings and have different widths based on the number of characters. We propose an algorithm ...