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Low Rank Models In Visual Analysis

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Low Rank and Sparse Modeling for Visual Analysis

Low Rank and Sparse Modeling for Visual Analysis Book
Author : Yun Fu
Publisher : Springer
Release : 2014-10-30
ISBN : 331912000X
Language : En, Es, Fr & De

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Book Description :

This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding and learning among unconstrained visual data. The book includes chapters covering multiple emerging topics in this new field. It links multiple popular research fields in Human-Centered Computing, Social Media, Image Classification, Pattern Recognition, Computer Vision, Big Data, and Human-Computer Interaction. Contains an overview of the low-rank and sparse modeling techniques for visual analysis by examining both theoretical analysis and real-world applications.

Low Rank Models in Visual Analysis

Low Rank Models in Visual Analysis Book
Author : Zhouchen Lin,Hongyang Zhang
Publisher : Academic Press
Release : 2017-06-06
ISBN : 0128127325
Language : En, Es, Fr & De

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Book Description :

Low-Rank Models in Visual Analysis: Theories, Algorithms, and Applications presents the state-of-the-art on low-rank models and their application to visual analysis. It provides insight into the ideas behind the models and their algorithms, giving details of their formulation and deduction. The main applications included are video denoising, background modeling, image alignment and rectification, motion segmentation, image segmentation and image saliency detection. Readers will learn which Low-rank models are highly useful in practice (both linear and nonlinear models), how to solve low-rank models efficiently, and how to apply low-rank models to real problems. Presents a self-contained, up-to-date introduction that covers underlying theory, algorithms and the state-of-the-art in current applications Provides a full and clear explanation of the theory behind the models Includes detailed proofs in the appendices

Low Rank Models for Multi Dimensional Data Recovery and Image Super Resolution

Low Rank Models for Multi Dimensional Data Recovery and Image Super Resolution Book
Author : Mohammed Al-Qizwini
Publisher : Unknown
Release : 2017
ISBN : 9780355430417
Language : En, Es, Fr & De

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Book Description :

Download Low Rank Models for Multi Dimensional Data Recovery and Image Super Resolution book written by Mohammed Al-Qizwini, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Inpainting and Denoising Challenges

Inpainting and Denoising Challenges Book
Author : Sergio Escalera,Stephane Ayache,Jun Wan,Meysam Madadi,Umut Güçlü,Xavier Baró
Publisher : Springer Nature
Release : 2019-10-16
ISBN : 3030256146
Language : En, Es, Fr & De

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Book Description :

The problem of dealing with missing or incomplete data in machine learning and computer vision arises in many applications. Recent strategies make use of generative models to impute missing or corrupted data. Advances in computer vision using deep generative models have found applications in image/video processing, such as denoising, restoration, super-resolution, or inpainting. Inpainting and Denoising Challenges comprises recent efforts dealing with image and video inpainting tasks. This includes winning solutions to the ChaLearn Looking at People inpainting and denoising challenges: human pose recovery, video de-captioning and fingerprint restoration. This volume starts with a wide review on image denoising, retracing and comparing various methods from the pioneer signal processing methods, to machine learning approaches with sparse and low-rank models, and recent deep learning architectures with autoencoders and variants. The following chapters present results from the Challenge, including three competition tasks at WCCI and ECML 2018. The top best approaches submitted by participants are described, showing interesting contributions and innovating methods. The last two chapters propose novel contributions and highlight new applications that benefit from image/video inpainting.

Evaluation and Modeling of Mass Transfer Properties of Edible Films Produced from Casein lipid Emulsions for Fruit and Vegetable Coating Applications

Evaluation and Modeling of Mass Transfer Properties of Edible Films Produced from Casein lipid Emulsions for Fruit and Vegetable Coating Applications Book
Author : Roberto de Jesús Avena Bustillos
Publisher : Unknown
Release : 1992
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Evaluation and Modeling of Mass Transfer Properties of Edible Films Produced from Casein lipid Emulsions for Fruit and Vegetable Coating Applications book written by Roberto de Jesús Avena Bustillos, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Learning Representation for Multi View Data Analysis

Learning Representation for Multi View Data Analysis Book
Author : Zhengming Ding,Handong Zhao,Yun Fu
Publisher : Springer
Release : 2018-12-06
ISBN : 3030007340
Language : En, Es, Fr & De

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Book Description :

This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching readers’ understanding from their similarity, and differences based on data organization and problem settings, as well as the research goal. A comprehensive review exhaustively provides the key recent research on multi-view data analysis, i.e., multi-view clustering, multi-view classification, zero-shot learning, and domain adaption. More practical challenges in multi-view data analysis are discussed including incomplete, unbalanced and large-scale multi-view learning. Learning Representation for Multi-View Data Analysis covers a wide range of applications in the research fields of big data, human-centered computing, pattern recognition, digital marketing, web mining, and computer vision.

The Chemistry of Low rank Coals

The Chemistry of Low rank Coals Book
Author : Harold H. Schobert,American Chemical Society. Meeting
Publisher : Amer Chemical Society
Release : 1984
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Good,No Highlights,No Markup,all pages are intact, Slight Shelfwear,may have the corners slightly dented, may have slight color changes/slightly damaged spine.

Sparse Representation Modeling and Learning in Visual Recognition

Sparse Representation  Modeling and Learning in Visual Recognition Book
Author : Hong Cheng
Publisher : Springer
Release : 2015-05-25
ISBN : 1447167147
Language : En, Es, Fr & De

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Book Description :

This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in visual recognition and computer vision. Topics and features: describes sparse recovery approaches, robust and efficient sparse representation, and large-scale visual recognition; covers feature representation and learning, sparsity induced similarity, and sparse representation and learning-based classifiers; discusses low-rank matrix approximation, graphical models in compressed sensing, collaborative representation-based classification, and high-dimensional nonlinear learning; includes appendices outlining additional computer programming resources, and explaining the essential mathematics required to understand the book.

Visual Analytics Through Gaussian Mixture Models with Subspace Constrained Component Means

Visual Analytics Through Gaussian Mixture Models with Subspace Constrained Component Means Book
Author : Mu Qiao
Publisher : Unknown
Release : 2017
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

We develop a new method for high dimensional data visualization via the Gaussian mixture model (GMM) with the component means constrained in a pre-selected subspace. An EM-type estimation algorithm is derived. We prove that the subspace containing the component means of a GMM with a common covariance matrix also contains the class means and the modes of the density. This motivates us to find a subspace by applying weighted principal component analysis to the class means and the modes. A dimension reduction property is proved in the sense of being informative for classification or clustering. Experiments on real data sets indicate that our method with the simple technique of spanning the subspace only by class means often outperforms the reduced rank mixture discriminant analysis (MDA) when the subspace dimension is very low. Visualization results on independent test data show that our proposed method exhibits more distinct class-wise separation of high dimensional data in 2d or 3d subspaces in comparison with reduced rank MDA.

American Doctoral Dissertations

American Doctoral Dissertations Book
Author : Anonim
Publisher : Unknown
Release : 2000
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

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Standard Poor s Stock Reports

Standard   Poor s Stock Reports Book
Author : Anonim
Publisher : Unknown
Release : 2001-07
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

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Comprehensive Dissertation Index 1861 1972 Psychology

Comprehensive Dissertation Index  1861 1972  Psychology Book
Author : Xerox University Microfilms
Publisher : Unknown
Release : 1973
ISBN : 9780835700986
Language : En, Es, Fr & De

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Book Description :

Download Comprehensive Dissertation Index 1861 1972 Psychology book written by Xerox University Microfilms, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Reservoir

Reservoir Book
Author : Anonim
Publisher : Unknown
Release : 2007
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

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Current Index to Journals in Education

Current Index to Journals in Education Book
Author : Anonim
Publisher : Unknown
Release : 1992
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

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Evaluation of Long Range Atmospheric Transport Models Using Environmental Radioactivity Data from the Chernobyl Accident

Evaluation of Long Range Atmospheric Transport Models Using Environmental Radioactivity Data from the Chernobyl Accident Book
Author : W. Klug,G. Graziani,D. Pierce,C. Tassone
Publisher : Springer
Release : 1992-06-30
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

A group of experts developed the outline for the Atmospheric Transport Model Evaluation Study and specified the requirements of modellers for radiological and meterological data. The results of the study are presented in this book.

Feature Extraction for Visual Analysis of DW MRI Data

Feature Extraction for Visual Analysis of DW MRI Data Book
Author : Anonim
Publisher : Unknown
Release : 2021-06-23
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Diffusion Weighted Magnetic Resonance Imaging (DW-MRI) is a recent modality to investigate the major neuronal pathways of the human brain. However, the rich DW-MRI datasets cannot be interpreted without proper preprocessing. In order to achieve under- standable visualizations, this dissertation reduces the complex data to relevant features. The first part is inspired by topological features in flow data. Novel features reconstruct fuzzy fiber bundle geometry from probabilistic tractography results. The topological prop- erties of existing features that extract the skeleton of white matter tracts are clarified, and the core of regions with planar diffusion is visualized. The second part builds on methods from computer vision. Relevant boundaries in the data are identified via regularized eigenvalue derivatives, and boundary information is used to segment anisotropy isosurfaces into meaningful regions. A higher-order structure tensor is shown to be an accurate descriptor of local structure in diffusion data. The third part is concerned with fiber tracking. Streamline visualizations are improved by adding features from structural MRI in a way that emphasizes the relation between the two types of data, and the accuracy of streamlines in high angular resolution data is increased by modeling the estimation of crossing fiber bundles as a low-rank tensor approximation problem.

Government Reports Announcements Index

Government Reports Announcements   Index Book
Author : Anonim
Publisher : Unknown
Release : 1996-09
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

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Dissertation Abstracts International

Dissertation Abstracts International Book
Author : Anonim
Publisher : Unknown
Release : 2008
ISBN : 0987650XXX
Language : En, Es, Fr & De

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British Journal of Radiology

British Journal of Radiology Book
Author : Anonim
Publisher : Unknown
Release : 1993
ISBN : 0987650XXX
Language : En, Es, Fr & De

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