Rangarajan anand (57 risultati)

Condizione: New. pp. 247.

Condizione: New. pp. 247.

Condizione: New. pp. 247.

Soft cover. Condizione: As New. 1st Edition. 492pp. , xvii. Stated: "First published 2014/ First paperback edition 2015". Index, pp. 481-492. Glossy wraps with full front cover color illustration of Gustav Klimt's "Hygieia" [detail] on top half front cover; title lettering in white over transparent brown background superimposed over lower half front cover image, with subtitle and editor names lettered in light yellow. Contributions: [Editors], "Introduction: Marrying Human Rights and Health Care Systems: Contexts for a Power to Improve Access and Equity, pp. 1-16; "Litigating a Right to Health Care in New Zealand", pp. 19-50; Anna-Sara Lind, "The Right to Health Care in Sweden", pp. 51-78; Colleen M. Flood, "Litigating Health Rights in Canada", pp. 79-106; Christopher Newdick, " Promoting Access and Equity in Health: Assessing the National Health Service in England", pp. 107-128; Everaldo Lamprea, "Colombia's Right-to-Health Litigation in a Context of Health Care Reform", pp. 131-158; Aeyal Gross, "The Right to Health in Israel between Solidarity and Neoliberalism", pp. 159-187; Andre den Exter, "Health Care Access in the Netherlands: A True Story", pp. 188-207; Maria Eva Foldes, " Addressing Equity in Health Care at the Public/Private Intersection: The Role of Health Rights Enforcement in Hungary", pp. 208-235; Y.Y. Brandon Chen, "Lending a Helping Hand: The Impact of Constitutional Interpretation on Taiwan's National Health Insurance Program, Health Equity, and Distributive Justice", pp. 236-259; Christina S. Ho, "Health Rights at the Juncture between State and Market: The People's Republic of China", pp. 263-287; Lisa Forman and Jerome Amir Singh, "The Role of Rights and Litigation in Assuring More Equitable Access to Health Care in South Africa", pp. 288- 318; Mariana Mota Prado, "Provision of Health Care Services and the Right to Health in Brazil: The Long, Winding, and Uncertain Road to Equality", pp. 319-344; Allison K. Hoffman, "A Vision of an Emerging Right to Health Care in the United States: Expanding Health Care Equity through Legislative Reform", pp. 345-370; Remigius N. Nwabueze, "The Legal Protection and Enforcement of Health Rights in Nigeria", pp. 371-393; Osca A. Cabrera and Fanny Gomez, "Litigating theRight to Health in Venezuela: A 'justiciable(?) Right in the Context of a Deficient Health Care System", pp. 394-422; Anand Grover, Maitreyi Misra,and Lubhayathi Rangarajan, "Right to Health: Addressing Inequities through Litigation in India," pp. 423-450; Colleen M. Flood and Aeyal Gross, "Conclusion: Contexts for the Promise and Peril of the Right to Health", pp. 451-480. Flawless. UNREAD. (No previous owner names; NO remainder mark. Clean Text.) Gift-giving quality.…

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Condizione: New.

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Paperback. Condizione: New. Video Based Machine Learning for Traffic Intersections describes the development of computer vision and machine learning-based applications for Intelligent Transportation Systems (ITS) and the challenges encountered during their deployment. This book presents several novel approaches, including a two-stream convolutional network architecture for vehicle detection, tracking, and near-miss detection; an unsupervised approach to detect near-misses in fisheye intersection videos using a deep learning model combined with a camera calibration and spline-based mapping method; and algorithms that utilize video analysis and signal timing data to accurately detect and categorize events based on the phase and type of conflict in pedestrian-vehicle and vehicle-vehicle interactions.The book makes use of a real-time trajectory prediction approach, combined with aligned Google Maps information, to estimate vehicle travel time across multiple intersections. Novel visualization software, designed by the authors to serve traffic practitioners, is used to analyze the efficiency and safety of intersections. The software offers two modes: a streaming mode and a historical mode, both of which are useful to traffic engineers who need to quickly analyze trajectories to better understand traffic behavior at an intersection.Overall, this book presents a comprehensive overview of the application of computer vision and machine learning to solve transportation-related problems. Video Based Machine Learning for Traffic Intersections demonstrates how these techniques can be used to improve safety, efficiency, and traffic flow, as well as identify potential conflicts and issues before they occur. The range of novel approaches and techniques presented offers a glimpse of the exciting possibilities that lie ahead for ITS research and development.Key Features:Describes the development and challenges associated with Intelligent Transportation Systems (ITS)Provides novel visualization software designed to serve traffic practitioners in analyzing the efficiency and safety of an intersectionHas the potential to proactively identify potential conflict situations and develop an early warning system for real-time vehicle-vehicle and pedestrian-vehicle conflicts.…

Condizione: New.

Paperback. Condizione: Brand New. 216 pages. 6.14x0.55x9.21 inches. In Stock.

Paperback. Condizione: Brand New. 194 pages. 9.18x6.12x9.21 inches. In Stock.

Condizione: New. Yashaswi Karnati is a computer scientist with expertise in machine learning, computer vision and intelligent transportation systems. Having completed a PhD in Computer Science from the University of Florida, he has embarked on a career that sits a.

Condizione: New.

Condizione: New. In English.

hardcover. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Unsupervised Learning and Matching.- Stochastic Search for Optimal Linear Representations of Images on Spaces with Orthogonality Constraints.- Local PCA for Strip Line Detection and Thinning.- Curve Matching Using the Fast Marching Method.- EM Algorithm for Clustering an Ensemble of Graphs with Comb Matching.- Information Force Clustering Using Directed Trees.- Watershed-Based Unsupervised Clustering.- Probabilistic Modelling.- Active Sampling Strategies for Multihypothesis Testing.- Likelihood Based Hierarchical Clustering and Network Topology Identification.- Learning Mixtures of Tree-Unions by Minimizing Description Length.- Image Registration and Segmentation by Maximizing the Jensen-Rényi Divergence.- Asymptotic Characterization of Log-Likelihood Maximization Based Algorithms and Applications.- Maximum Entropy Models for Skin Detection.- Hierarchical Annealing for Random Image Synthesis.- On Solutions to Multivariate Maximum -Entropy Problems.- Segmentation and Grouping.- Semi-supervised Image Segmentation by Parametric Distributional Clustering.- Path Variation and Image Segmentation.- A Fast Snake Segmentation Method Applied to Histopathological Sections.- A Compositionality Architecture for Perceptual Feature Grouping.- Using Prior Shape and Points in Medical Image Segmentation.- Separating a Texture from an Arbitrary Background Using Pairwise Grey Level Cooccurrences.- Shape Modelling.- Surface Recovery from 3D Point Data Using a Combined Parametric and Geometric Flow Approach.- Geometric Analysis of Continuous, Planar Shapes.- Curvature Vector Flow to Assure Convergent Deformable Models for Shape Modelling.- Definition of a Signal-to-Noise Ratio for Object Segmentation Using Polygonal MDL-Based Statistical Snakes.- Restoration and Reconstruction.-Minimization of Cost-Functions with Non-smooth Data-Fidelity Terms to Clean Impulsive Noise.- A Fast GEM Algorithm for Bayesian Wavelet-Based Image Restoration Using a Class of Heavy-Tailed Priors.- Diffusion Tensor MR Image Restoration.- A MAP Estimation Algorithm Using IIR Recursive Filters.- Estimation of Rank Deficient Matrices from Partial Observations: Two-Step Iterative Algorithms.- Contextual and Non-combinatorial Approach to Feature Extraction.- Graphs and Graph-Based Methods.- Generalizing the Motzkin-Straus Theorem to Edge-Weighted Graphs, with Applications to Image Segmentation.- Generalized Multi-camera Scene Reconstruction Using Graph Cuts.- Graph Matching Using Spectral Seriation.…

Condizione: New. pp. 560.

Condizione: New. pp. xii + 666.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume consists of the 42 papers presented at the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recog- tion (EMMCVPR 2005), which was held at the Hilton St. Augustine Historic Bayfront,St. Augustine, Florida,USA, during November9 11,2005.This wo- shop is the fth in a series which began with EMMCVPR 1997 held in Venice, Italy, in May 1997 and continued with EMMCVPR 1999 held in York, UK, in July 1999, EMMCVPR 2001 held in Sophia-Antipolis, France, in September 2001 and EMMCVPR 2003 held in Lisbon, Portugal, in July 2003. Many problems in computer vision and pattern recognition (CVPR) are couchedintheframeworkofoptimization.Theminimizationofaglobalquantity, often referred to as the energy, forms the bulwark of most approachesin CVPR. Disparate approaches such as discrete and probabilistic formulations on the one hand and continuous, deterministic strategies on the other often have optimi- tion or energy minimization as a common theme. Instances of energy minimi- tion arise in Gibbs/Markov modeling, Bayesian decision theory, geometric and variational approaches and in areas in CVPR such as object recognition and - trieval, image segmentation, registration, reconstruction, classi cation and data mining. The aim of this workshop was to bring together researchers with interests in thesedisparateareasofCVPRbutwithanunderlyingcommitmenttosomeform of not only energy minimization but global optimization in general. Although thesubjectistraditionallywellrepresentedinmajorinternationalconferenceson CVPR, recent advances information geometry, Bayesian networks and gra- ical models, Markov chain Monte Carlo, graph algorithms, implicit methods in variational approaches and PDEs deserve an informal and focused hearing in a workshop setting.…

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Condizione: New.

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