Learning And Leveraging Shared Domain Semantics To Counteract Visual Domain Shifts

Download Learning And Leveraging Shared Domain Semantics To Counteract Visual Domain Shifts full books in PDF, epub, and Kindle. Read online Learning And Leveraging Shared Domain Semantics To Counteract Visual Domain Shifts ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Towards Recognizing New Semantic Concepts in New Visual Domains

Author : Massimiliano Mancini
Publisher : Sapienza Università Editrice
ISBN 13 : 8893772485
Total Pages : 285 pages
Book Rating : 4.8/5 (937 download)

DOWNLOAD NOW!

Book Synopsis Towards Recognizing New Semantic Concepts in New Visual Domains by : Massimiliano Mancini

Download or read book Towards Recognizing New Semantic Concepts in New Visual Domains written by Massimiliano Mancini and published by Sapienza Università Editrice. This book was released on 2022-11-30 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite being the leading paradigm in computer vision, deep neural networks are inherently limited by the visual and semantic information contained in their training set. In this thesis, we aim to design deep models operating with previously unseen visual domains and semantic concepts. We first describe different solutions for generalizing to new visual domains, applying variants of normalization layers to multiple challenging settings e.g. where new domain data is not available but arrives online or is described by metadata. In the second part, we incorporate new semantic concepts into pretrained deep models. We propose specific solutions for different problems such as multi-task/incremental learning and open-world recognition. Finally, we merge the two challenges: given images of multiple domains and categories, can we recognize unseen concepts in unseen domains? We propose an approach that is the first, promising step, towards solving this problem. Winner of the Competition “Prize for PhD Thesis 2020” arranged by Sapienza University Press.

Computer Vision – ECCV 2020

Author : Andrea Vedaldi
Publisher : Springer Nature
ISBN 13 : 3030586219
Total Pages : 817 pages
Book Rating : 4.0/5 (35 download)

DOWNLOAD NOW!

Book Synopsis Computer Vision – ECCV 2020 by : Andrea Vedaldi

Download or read book Computer Vision – ECCV 2020 written by Andrea Vedaldi and published by Springer Nature. This book was released on 2020-11-26 with total page 817 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Visual Domain Adaptation in the Deep Learning Era

Author : Gabriela Csurka
Publisher : Springer Nature
ISBN 13 : 3031791754
Total Pages : 182 pages
Book Rating : 4.0/5 (317 download)

DOWNLOAD NOW!

Book Synopsis Visual Domain Adaptation in the Deep Learning Era by : Gabriela Csurka

Download or read book Visual Domain Adaptation in the Deep Learning Era written by Gabriela Csurka and published by Springer Nature. This book was released on 2022-06-06 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solving problems with deep neural networks typically relies on massive amounts of labeled training data to achieve high performance. While in many situations huge volumes of unlabeled data can be and often are generated and available, the cost of acquiring data labels remains high. Transfer learning (TL), and in particular domain adaptation (DA), has emerged as an effective solution to overcome the burden of annotation, exploiting the unlabeled data available from the target domain together with labeled data or pre-trained models from similar, yet different source domains. The aim of this book is to provide an overview of such DA/TL methods applied to computer vision, a field whose popularity has increased significantly in the last few years. We set the stage by revisiting the theoretical background and some of the historical shallow methods before discussing and comparing different domain adaptation strategies that exploit deep architectures for visual recognition. We introduce the space of self-training-based methods that draw inspiration from the related fields of deep semi-supervised and self-supervised learning in solving the deep domain adaptation. Going beyond the classic domain adaptation problem, we then explore the rich space of problem settings that arise when applying domain adaptation in practice such as partial or open-set DA, where source and target data categories do not fully overlap, continuous DA where the target data comes as a stream, and so on. We next consider the least restrictive setting of domain generalization (DG), as an extreme case where neither labeled nor unlabeled target data are available during training. Finally, we close by considering the emerging area of learning-to-learn and how it can be applied to further improve existing approaches to cross domain learning problems such as DA and DG.

Neural Information Processing

Author : Teddy Mantoro
Publisher : Springer Nature
ISBN 13 : 3030922731
Total Pages : 718 pages
Book Rating : 4.0/5 (39 download)

DOWNLOAD NOW!

Book Synopsis Neural Information Processing by : Teddy Mantoro

Download or read book Neural Information Processing written by Teddy Mantoro and published by Springer Nature. This book was released on 2021-12-04 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume proceedings LNCS 13108, 13109, 13110, and 13111 constitutes the proceedings of the 28th International Conference on Neural Information Processing, ICONIP 2021, which was held during December 8-12, 2021. The conference was planned to take place in Bali, Indonesia but changed to an online format due to the COVID-19 pandemic. The total of 226 full papers presented in these proceedings was carefully reviewed and selected from 1093 submissions. The papers were organized in topical sections as follows: Part I: Theory and algorithms; Part II: Theory and algorithms; human centred computing; AI and cybersecurity; Part III: Cognitive neurosciences; reliable, robust, and secure machine learning algorithms; theory and applications of natural computing paradigms; advances in deep and shallow machine learning algorithms for biomedical data and imaging; applications; Part IV: Applications.

Domain Adaptation in Computer Vision Applications

Author : Gabriela Csurka
Publisher : Springer
ISBN 13 : 3319583476
Total Pages : 338 pages
Book Rating : 4.3/5 (195 download)

DOWNLOAD NOW!

Book Synopsis Domain Adaptation in Computer Vision Applications by : Gabriela Csurka

Download or read book Domain Adaptation in Computer Vision Applications written by Gabriela Csurka and published by Springer. This book was released on 2017-09-10 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive text/reference presents a broad review of diverse domain adaptation (DA) methods for machine learning, with a focus on solutions for visual applications. The book collects together solutions and perspectives proposed by an international selection of pre-eminent experts in the field, addressing not only classical image categorization, but also other computer vision tasks such as detection, segmentation and visual attributes. Topics and features: surveys the complete field of visual DA, including shallow methods designed for homogeneous and heterogeneous data as well as deep architectures; presents a positioning of the dataset bias in the CNN-based feature arena; proposes detailed analyses of popular shallow methods that addresses landmark data selection, kernel embedding, feature alignment, joint feature transformation and classifier adaptation, or the case of limited access to the source data; discusses more recent deep DA methods, including discrepancy-based adaptation networks and adversarial discriminative DA models; addresses domain adaptation problems beyond image categorization, such as a Fisher encoding adaptation for vehicle re-identification, semantic segmentation and detection trained on synthetic images, and domain generalization for semantic part detection; describes a multi-source domain generalization technique for visual attributes and a unifying framework for multi-domain and multi-task learning. This authoritative volume will be of great interest to a broad audience ranging from researchers and practitioners, to students involved in computer vision, pattern recognition and machine learning.

Pattern Recognition and Computer Vision

Author : Qingshan Liu
Publisher : Springer Nature
ISBN 13 : 9819984351
Total Pages : 532 pages
Book Rating : 4.8/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Pattern Recognition and Computer Vision by : Qingshan Liu

Download or read book Pattern Recognition and Computer Vision written by Qingshan Liu and published by Springer Nature. This book was released on 2023-12-23 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.

Transfer Learning

Author : Qiang Yang
Publisher : Cambridge University Press
ISBN 13 : 1108860087
Total Pages : 394 pages
Book Rating : 4.1/5 (88 download)

DOWNLOAD NOW!

Book Synopsis Transfer Learning by : Qiang Yang

Download or read book Transfer Learning written by Qiang Yang and published by Cambridge University Press. This book was released on 2020-02-13 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to help solve target problems when there is only a small amount of data available. This makes such systems more reliable and robust, keeping the machine learning model faced with unforeseeable changes from deviating too much from expected performance. At an enterprise level, transfer learning allows knowledge to be reused so experience gained once can be repeatedly applied to the real world. For example, a pre-trained model that takes account of user privacy can be downloaded and adapted at the edge of a computer network. This self-contained, comprehensive reference text describes the standard algorithms and demonstrates how these are used in different transfer learning paradigms. It offers a solid grounding for newcomers as well as new insights for seasoned researchers and developers.

Robot Programming by Demonstration

Author : Sylvain Calinon
Publisher : EPFL Press
ISBN 13 : 9781439808672
Total Pages : 248 pages
Book Rating : 4.8/5 (86 download)

DOWNLOAD NOW!

Book Synopsis Robot Programming by Demonstration by : Sylvain Calinon

Download or read book Robot Programming by Demonstration written by Sylvain Calinon and published by EPFL Press. This book was released on 2009-08-24 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in RbD have identified a number of key issues for ensuring a generic approach to the transfer of skills across various agents and contexts. This book focuses on the two generic questions of what to imitate and how to imitate and proposes active teaching methods.

Computer Vision – ECCV 2018

Author : Vittorio Ferrari
Publisher : Springer
ISBN 13 : 3030012492
Total Pages : 880 pages
Book Rating : 4.0/5 (3 download)

DOWNLOAD NOW!

Book Synopsis Computer Vision – ECCV 2018 by : Vittorio Ferrari

Download or read book Computer Vision – ECCV 2018 written by Vittorio Ferrari and published by Springer. This book was released on 2018-10-05 with total page 880 pages. Available in PDF, EPUB and Kindle. Book excerpt: The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization; matching and recognition; video attention; and poster sessions.

Intelligent Computing

Author : Kohei Arai
Publisher : Springer Nature
ISBN 13 : 3030801195
Total Pages : 1184 pages
Book Rating : 4.0/5 (38 download)

DOWNLOAD NOW!

Book Synopsis Intelligent Computing by : Kohei Arai

Download or read book Intelligent Computing written by Kohei Arai and published by Springer Nature. This book was released on 2021-07-12 with total page 1184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive collection of chapters focusing on the core areas of computing and their further applications in the real world. Each chapter is a paper presented at the Computing Conference 2021 held on 15-16 July 2021. Computing 2021 attracted a total of 638 submissions which underwent a double-blind peer review process. Of those 638 submissions, 235 submissions have been selected to be included in this book. The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. We hope that readers find this volume interesting and valuable as it provides the state-of-the-art intelligent methods and techniques for solving real-world problems. We also expect that the conference and its publications is a trigger for further related research and technology improvements in this important subject.

Artificial Neural Networks and Machine Learning – ICANN 2022

Author : Elias Pimenidis
Publisher : Springer Nature
ISBN 13 : 3031159314
Total Pages : 836 pages
Book Rating : 4.0/5 (311 download)

DOWNLOAD NOW!

Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2022 by : Elias Pimenidis

Download or read book Artificial Neural Networks and Machine Learning – ICANN 2022 written by Elias Pimenidis and published by Springer Nature. This book was released on 2022-09-06 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 4-volumes set of LNCS 13529, 13530, 13531, and 13532 constitutes the proceedings of the 31st International Conference on Artificial Neural Networks, ICANN 2022, held in Bristol, UK, in September 2022. The total of 255 full papers presented in these proceedings was carefully reviewed and selected from 561 submissions. ICANN 2022 is a dual-track conference featuring tracks in brain inspired computing and machine learning and artificial neural networks, with strong cross-disciplinary interactions and applications. Chapters “Learning Flexible Translation Between Robot Actions and Language Descriptions”, “Learning Visually Grounded Human-Robot Dialog in a Hybrid Neural Architecture” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Computer Vision – ECCV 2016

Author : Bastian Leibe
Publisher : Springer
ISBN 13 : 3319464752
Total Pages : 910 pages
Book Rating : 4.3/5 (194 download)

DOWNLOAD NOW!

Book Synopsis Computer Vision – ECCV 2016 by : Bastian Leibe

Download or read book Computer Vision – ECCV 2016 written by Bastian Leibe and published by Springer. This book was released on 2016-09-16 with total page 910 pages. Available in PDF, EPUB and Kindle. Book excerpt: The eight-volume set comprising LNCS volumes 9905-9912 constitutes the refereed proceedings of the 14th European Conference on Computer Vision, ECCV 2016, held in Amsterdam, The Netherlands, in October 2016. The 415 revised papers presented were carefully reviewed and selected from 1480 submissions. The papers cover all aspects of computer vision and pattern recognition such as 3D computer vision; computational photography, sensing and display; face and gesture; low-level vision and image processing; motion and tracking; optimization methods; physics-based vision, photometry and shape-from-X; recognition: detection, categorization, indexing, matching; segmentation, grouping and shape representation; statistical methods and learning; video: events, activities and surveillance; applications. They are organized in topical sections on detection, recognition and retrieval; scene understanding; optimization; image and video processing; learning; action activity and tracking; 3D; and 9 poster sessions.

Dataset Shift in Machine Learning

Author : Joaquin Quinonero-Candela
Publisher : MIT Press
ISBN 13 : 0262170051
Total Pages : 246 pages
Book Rating : 4.2/5 (621 download)

DOWNLOAD NOW!

Book Synopsis Dataset Shift in Machine Learning by : Joaquin Quinonero-Candela

Download or read book Dataset Shift in Machine Learning written by Joaquin Quinonero-Candela and published by MIT Press. This book was released on 2008-12-12 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of recent efforts in the machine learning community to deal with dataset and covariate shift, which occurs when test and training inputs and outputs have different distributions. Dataset shift is a common problem in predictive modeling that occurs when the joint distribution of inputs and outputs differs between training and test stages. Covariate shift, a particular case of dataset shift, occurs when only the input distribution changes. Dataset shift is present in most practical applications, for reasons ranging from the bias introduced by experimental design to the irreproducibility of the testing conditions at training time. (An example is -email spam filtering, which may fail to recognize spam that differs in form from the spam the automatic filter has been built on.) Despite this, and despite the attention given to the apparently similar problems of semi-supervised learning and active learning, dataset shift has received relatively little attention in the machine learning community until recently. This volume offers an overview of current efforts to deal with dataset and covariate shift. The chapters offer a mathematical and philosophical introduction to the problem, place dataset shift in relationship to transfer learning, transduction, local learning, active learning, and semi-supervised learning, provide theoretical views of dataset and covariate shift (including decision theoretic and Bayesian perspectives), and present algorithms for covariate shift. Contributors Shai Ben-David, Steffen Bickel, Karsten Borgwardt, Michael Brückner, David Corfield, Amir Globerson, Arthur Gretton, Lars Kai Hansen, Matthias Hein, Jiayuan Huang, Choon Hui Teo, Takafumi Kanamori, Klaus-Robert Müller, Sam Roweis, Neil Rubens, Tobias Scheffer, Marcel Schmittfull, Bernhard Schölkopf Hidetoshi Shimodaira, Alex Smola, Amos Storkey, Masashi Sugiyama

Computer Vision – ECCV 2022

Author : Shai Avidan
Publisher : Springer Nature
ISBN 13 : 3031200500
Total Pages : 820 pages
Book Rating : 4.0/5 (312 download)

DOWNLOAD NOW!

Book Synopsis Computer Vision – ECCV 2022 by : Shai Avidan

Download or read book Computer Vision – ECCV 2022 written by Shai Avidan and published by Springer Nature. This book was released on 2022-10-28 with total page 820 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Person Re-Identification

Author : Shaogang Gong
Publisher : Springer Science & Business Media
ISBN 13 : 144716296X
Total Pages : 446 pages
Book Rating : 4.4/5 (471 download)

DOWNLOAD NOW!

Book Synopsis Person Re-Identification by : Shaogang Gong

Download or read book Person Re-Identification written by Shaogang Gong and published by Springer Science & Business Media. This book was released on 2014-01-03 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first book of its kind dedicated to the challenge of person re-identification, this text provides an in-depth, multidisciplinary discussion of recent developments and state-of-the-art methods. Features: introduces examples of robust feature representations, reviews salient feature weighting and selection mechanisms and examines the benefits of semantic attributes; describes how to segregate meaningful body parts from background clutter; examines the use of 3D depth images and contextual constraints derived from the visual appearance of a group; reviews approaches to feature transfer function and distance metric learning and discusses potential solutions to issues of data scalability and identity inference; investigates the limitations of existing benchmark datasets, presents strategies for camera topology inference and describes techniques for improving post-rank search efficiency; explores the design rationale and implementation considerations of building a practical re-identification system.

Speech and Computer

Author : Alexey Karpov
Publisher : Springer Nature
ISBN 13 : 303148312X
Total Pages : 587 pages
Book Rating : 4.0/5 (314 download)

DOWNLOAD NOW!

Book Synopsis Speech and Computer by : Alexey Karpov

Download or read book Speech and Computer written by Alexey Karpov and published by Springer Nature. This book was released on 2023-12-23 with total page 587 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume proceedings set LNAI 14338 and 14339 constitutes the refereed proceedings of the 25th International Conference on Speech and Computer, SPECOM 2023, held in Dharwad, India, during November 29–December 2, 2023. The 94 papers included in these proceedings were carefully reviewed and selected from 174 submissions. They focus on all aspects of speech science and technology: automatic speech recognition; computational paralinguistics; digital signal processing; speech prosody; natural language processing; child speech processing; speech processing for medicine; industrial speech and language technology; speech technology for under-resourced languages; speech analysis and synthesis; speaker and language identification, verification and diarization.

Shifting the Balance, 3-5

Author : Katie Cunningham
Publisher :
ISBN 13 : 9781625315977
Total Pages : 0 pages
Book Rating : 4.3/5 (159 download)

DOWNLOAD NOW!

Book Synopsis Shifting the Balance, 3-5 by : Katie Cunningham

Download or read book Shifting the Balance, 3-5 written by Katie Cunningham and published by . This book was released on 2023-09-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this much anticipated follow-up to their groundbreaking book, Shifting the Balance: 6 Ways to Bring the Science of Reading into the Balanced Literacy Classroom, authors Jan Burkins and Kari Yates, together with co-author Katie Cunningham, extend the conversation in Shifting the Balance 3-5: 6 Ways to Bring the Science of Reading into the Upper Elementary Classroom. This new text is built in mind specifically for grades 3-5 teachers around best practices for the intermediate classroom. Shifting the Balance 3-5 introduces six more shifts across individual chapters that: Zoom in on a common (but not-as helpful-as-we-had-hoped) practice to reconsider Untangle a number of "misunderstandings" that have likely contributed to the use of the common practice Propose a more science-aligned shift to the current practice Provide solid scientific research to support the revised practice Offer a collection of high-leverage, easy-to-implement instructional routines to support the shift to more brain-friendly instruction The authors offer a refreshing approach that is respectful, accessible, and practical - grounded in an earnest commitment to building a bridge between research and classroom practice. As with the first Shifting the Balance, they aim to keep students at the forefront of reading instruction.