Nonlinear transformation of one image plane relative to another by spatially constrained elastic matching of two pixel grids is proposed as a technique of measuring image similarity for the purpose of featureless face identi cation. The elastic matching algorithm is devised as a combination of two dynamic programming procedures applied independently to each row and then to each column of the pi...

Fast algorithm for joint near-optimal approximation of multiple polygonal curves is proposed. It is based on iterative reduced-search dynamic programming introduced earlier for the minproblem of a single polygonal curve. The proposed algorithm jointly optimizes the number of line segments allocated to the different individual curves, and the approximation of the curves by the given number of se...

Traditional system diagnostic and management techniques rely on static system structure and static instrumentation. We believe that static approaches are simply no longer sustainable in today’s complex, distributed and dynamic systems. SONAR (Sustainable Optimization and Navigation with Aspects at Runtime) is a fluid and unified framework that allows stakeholders to dynamically explore and modi...

This paper presents the first coupling application of the dual reciprocity BEM (DRBEM) and dynamic programming filter to inverse elastodynamic problem. The DRBEM is the only BEM method, which does not require domain discretization for general linear and nonlinear dynamic problems. Since the size of numerical discretization system has a great effect on the computing effort of recursive or iterat...

MapReduce distributed data processing architecture has become the de-facto data-intensive analysis mechanism in compute clouds and in commodity clusters, mainly due to its excellent fault tolerance features, scalability, ease of use and the simpler programming model. MapReduceRoles for Azure (MR4Azure) is a decentralized, dynamically scalable MapReduce runtime we developed for Windows Azure Clo...

Cross-narrative temporal ordering of medical events is essential to the task of generating a comprehensive timeline over a patient’s history. We address the problem of aligning multiple medical event sequences, corresponding to different clinical narratives, comparing the following approaches: (1) A novel weighted finite state transducer representation of medical event sequences that enables co...

In this paper, we consider the problem of planning in the infinite-horizon discountedreward Markov decision problems. We propose a novel iterative method, called dynamic policy programming (DPP), which updates the parametrized policy by a Bellmanlike iteration. For discrete state-action case, we establish L∞-norm loss bounds for the performance of the policy induced by DPP and prove that it asy...

In this paper, a finite-horizon neuro-optimal tracking control strategy for a class of discrete-time nonlinear systems is proposed. Through system transformation, the optimal tracking problem is converted into designing a finite-horizon optimal regulator for the tracking error dynamics. Then, with convergence analysis in terms of cost function and control law, the iterative adaptive dynamic pro...