We present a framework for estimating 3D relative structure (shape) and motion given objects undergoing non-rigid deformation as observed from a fixed camera, under perspective projection. Deforming surfaces are approximated as piece-wise planar, and piece-wise rigid. Robust registration methods allow tracking of corresponding image patches from view to view and recovery of 3D shape despite occ...

Parameter estimation in nonlinear systems is an important issue in measurement, diagnosis and modeling. The goal is to find a differentiator free on-line adaptive estimation algorithm which can estimate the internal unknown parameters of dynamic systems using its inputs and outputs. This thesis provides new algorithms for adaptive estimation and control of nonlinearly parameterized (NLP) system...

Background: Photon attenuation as an inevitable physical phenomenon influences on the diagnostic information of SPECT images and results to errors in accuracy of quantitative measurements. This can be corrected via different physical or mathematical approaches. As the correction equation in mathematical approaches is nonlinear, in this study a new method of linearization called ‘Piece Wise Line...

We present a novel general technique that classifier learning to synthesize piece-wise functions (functions that split the domain into regions, applying simpler functions to each region), working in combination with a synthesizer of the simpler functions for concrete inputs and a synthesizer of predicates that can be used to define regions. We develop a theory of single-point refutable specific...

In Part I (Rodriguez, et al., 2013 an optimization model was proposed to redesign the supply chain of spare parts industry under demand uncertainty in a specified planning horizon. To address large industrial problems, a Lagrangean scheme is proposed to decompose the MINLP of Part I according to the warehouses by dualizing the logic constraints that assign the warehouses to different customers,...

Brains are open thermodynamic systems, continually dissipating metabolic energy as heat in constructing spatiotemporal patterns of neural activity. Here observations on patterns of cortical oscillations are described as Prigogine’s “dissipative structures” forming at conditionally stable operating points far from equilibrium. The approach is to locate experimentally a small-signal, near-linear ...