We provide a unifying geometric framework for the analysis of general classes of duality schemes and penalty methods for nonconvex constrained optimization problems. We present a ...
Abstract-- An inverse modeling problem for systems governed by first-order, hyperbolic partial differential equations subject to periodic forcing is investigated. The problem is de...
Qingfang Wu, Mohammad Rafiee, Andrew Tinka, Alexan...
The problem of optimal policy formulation for teams of resource-limited agents in stochastic environments is composed of two strongly-coupled subproblems: a resource allocation pr...
This paper introduces a new method for identifying named-entity (NE) transliterations in bilingual corpora. Recent works have shown the advantage of discriminative approaches to t...
Category ranking is the task of ordering labels with respect to their relevance to an input instance. In this paper we describe and analyze several algorithms for online category r...
We present a novel method for information-theoretic exploration, leveraging recent work on mapping and localization. We describe exploration as the constrained optimization proble...
This paper presents a unified approach to solve different bilinear factorization problems in Computer Vision in the presence of missing data in the measurements. The problem is f...
In a two-market genetic algorithm applied to a constrained optimization problem, two ‘markets’ are maintained. One market establishes fitness in terms of the objective functio...
Steven Orla Kimbrough, Ming Lu, David Harlan Wood,...
Content adaptation is an effective solution to support the quality of service for multimedia services over heterogeneous networks. This paper deals with the accuracy and the real-...