Xilin Chen

Liang Wang

Hongbin Zha

Qingshan Liu

Weishi Zheng

Hanzi Wang

Zhanyu Ma

Rongrong Ji

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.

6th Chinese Conference, PRCV 2023, Xiamen, China, October 13–15, 2023, Proceedings, Part XIII

Pattern Recognition and Computer Vision

Qiguang Miao

Honbin Zha

The two volumes CCIS 546 and 547 constitute the refereed proceedings of the CCF Chinese Conference on Computer Vision, CCCV 2015, held in Xi'an, China, in September 2015. The total of 89 revised full papers presented in both volumes were carefully reviewed and selected from 176 submissions. The papers address issues such as computer vision, machine learning, pattern recognition, target recognition, object detection, target tracking, image segmentation, image restoration, face recognition, image classification.

CCF Chinese Conference, CCCV 2015, Xi'an, China, September 18-20, 2015, Proceedings, Part I

Computer Vision

6th Chinese Conference, PRCV 2023, Xiamen, China, October 13–15, 2023, Proceedings, Part XII

CCF Chinese Conference, CCCV 2015, Xi'an, China, September 18-20, 2015, Proceedings, Part II

Bernadette Baker

Antti Saari

Hannah Tavares

The 21st century is steeped in claims to interconnection, technological innovation, and new affective intensities amid challenges to the primacy and centrality of "the human". Flashpoint epistemology attends to the lived difficulties that arise in teaching, policymaking, curriculum, and research among continuous practices of differentiation, and for which there is no pre-existing template for judgment, resolution, or action. Flashpoint Epistemology Volume 2 brings creative sociopolitical research perspectives to flashpoints that emerge amid appeals to globalization, synoptic policy approaches, and new technologies – however defined. The chapters challenge prevailing notions of distance and difference, comparative philosophy, worlding practices, and contact zones. In the remaking of subjects, the unhoming of geopolitics, and new approaches to relationality, youth, and classrooms, complexities in preserving and questioning identity are laid bare and renovated. How technologies challenge and redefine racialization, engendering, and inter/nationalization are examined amid the reworking of oppression, success, well-being, politics, method, and power. The volume will be beneficial for researchers seeking new approaches to education’s complexities, nested discourses, and ever-moving horizons of enactment. It is also a key text for post/graduate students and teachers interested in technological impact, globality, policymaking, and new ways of conducting research in contexts of digitalization and social media.

Aporias of Complexity in Power, Politics and Methods in Education

Flashpoint Epistemology Volume 2

Jian Li

Qi Zhao

Chin Yen Tay

Computational Predictions, Dynamic Tracking, and Evolutionary Analysis of Antibiotic Resistance Through the Mining of Microbial Genomes and Metagenomic Data

Jianxin Zhao

Richard Mortier

This book is about the harmonious synthesis of functional programming and numerical computation. It shows how the expressiveness of OCaml allows for fast and safe development of data science applications. Step by step, the authors build up to use cases drawn from many areas of Data Science, Machine Learning, and AI, and then delve into how to deploy at scale, using parallel, distributed, and accelerated frameworks to gain all the advantages of cloud computing environments. To this end, the book is divided into three parts, each focusing on a different area. Part I begins by introducing how basic numerical techniques are performed in OCaml, including classical mathematical topics (interpolation and quadrature), statistics, and linear algebra. It moves on from using only scalar values to multi-dimensional arrays, introducing the tensor and Ndarray, core data types in any numerical computing system. It concludes with two more classical numerical computing topics, the solution of Ordinary Differential Equations (ODEs) and Signal Processing, as well as introducing the visualization module we use throughout this book. Part II is dedicated to advanced optimization techniques that are core to most current popular data science fields. We do not focus only on applications but also on the basic building blocks, starting with Algorithmic Differentiation, the most crucial building block that in turn enables Deep Neural Networks. We follow this with chapters on Optimization and Regression, also used in building Deep Neural Networks. We then introduce Deep Neural Networks as well as topic modelling in Natural Language Processing (NLP), two advanced and currently very active fields in both industry and academia. Part III collects a range of case studies demonstrating how you can build a complete numerical application quickly from scratch using Owl. The cases presented include computer vision and recommender systems. This book aims at anyone with a basic knowledge of functional programming and a desire to explore the world of scientific computing, whether to generally explore the field in the round, to build applications for particular topics, or to deep-dive into how numerical systems are constructed. It does not assume strict ordering in reading – readers can simply jump to the topic that interests them most.

Functional Programming in Data Science and Artificial Intelligence

OCaml Scientific Computing

Tieniu Tan

Jianhuang Lai

Fei Wu

Changshui Zhang

Huimin Ma

Yao Zhao

Yaonan Wang

The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.

4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part II

University of Western Australia

[Truncated abstract] According to Walther and Ewald, the sit-and-wait hypothesis predicts that bacterial 'virulence should be positively correlated with durability in the external environment because high durability reduces the dependence of transmission on host mobility'. However, currently only epidemiological, empirical, and theoretical evidence exists to support this hypothesis. This thesis aims to study bacterial durability both theoretically and experimentally in order to provide genetic basis so as that experimentally testing the sit-and-wait hypothesis is possible. Currently, two major factors determine bacterial durability: resistance to environmental stresses and energy storage mechanisms. Thus, we constructed two sets of hidden Markov models (HMMs) for abiotic stress resistance and energy storage mechanisms, respectively. For HMMs corresponding to abiotic stress resistance, we screened 14 pairs of virulent/avirulent bacterial strains in order to identify proteins uniquely existing in the virulent bacteria, which were considered as theoretically genetic basis for the sit-and-wait hypothesis. For HMMs corresponding to energy storage mechanisms, 1202 annotated bacterial proteomes from HAMAP database were scanned for the distribution of five major energy storage compounds: wax ester (WE), triacylglycerol (TAG), polyhydroxybutyrate (PHB), polyphosphate (PolyP), and glycogen. Then, we analyzed the distribution of enzymes for the synthesis of WE, PHB, and glycogen in 131 selected human pathogens in terms of transmission modes, host-pathogen interactions, and virulence, etc. The second part of this study is about a novel mechanism called durable energy storage mechanism (DESM). Several studies have noted that glycogen with short average chain length (ACL) in some bacteria is degraded very slowly, and slow utilization of glycogen is correlated with bacterial viability, hence virulence. In this study, we manipulated glycogen average chain length by progressively truncating the N-terminus of glycogen branching enzyme in situ and examined its effects on bacterial durability under environmental stresses in order to test the validity of DESM hypothesis experimentally. In sum, we tried to provide genetic background for the sit-and-wait hypothesis by studying the core factor of the hypothesis, bacterial durability. The linkage between durability and virulence was explored primarily by using HMMs. A set of durability-related proteins was successfully identified in virulent bacteria. Besides, theoretical distribution of glycogen in 1202 bacterial proteomes showed a significant correlation between large proteome size and glycogen metabolism. Since large proteome size is generally considered as a necessity for complex living styles, glycogen metabolism should be statistically considered as a supporter for bacterial durability. In addition, distribution of synthesis pathways in 131 human pathogens for PHB, glycogen, and WE indicated that energy reserves have a potential linkage with virulence. Finally, the novel DESM hypothesis, also considered as a factor for bacterial durability, was explored through physical experimentation...

Abiotic Stress Resistance and Energy Storage Mechanisms

Exploring the Genetic Basis for the Sit-and-wait Hypothesis

Dacheng Tao

Caifeng Shan

Dan Schonfeld

As cameras become more pervasive in our daily life, vast amounts of video data are generated. The popularity of YouTube and similar websites such as Tudou and Youku provides strong evidence for the increasing role of video in society. One of the main challenges confronting us in the era of information technology is to - fectively rely on the huge and rapidly growing video data accumulating in large multimedia archives. Innovative video processing and analysis techniques will play an increasingly important role in resolving the difficult task of video search and retrieval. A wide range of video-based applications have benefited from - vances in video search and mining including multimedia information mana- ment, human-computer interaction, security and surveillance, copyright prot- tion, and personal entertainment, to name a few. This book provides an overview of emerging new approaches to video search and mining based on promising methods being developed in the computer vision and image analysis community. Video search and mining is a rapidly evolving discipline whose aim is to capture interesting patterns in video data. It has become one of the core areas in the data mining research community. In comparison to other types of data mining (e. g. text), video mining is still in its infancy. Many challenging research problems are facing video mining researchers.

Video Search and Mining

Xiang Bai

Qinghua Hu

Jinfeng Yang

Ming-Ming Cheng

Deyu Meng

This three volume set, CCIS 771, 772, 773, constitutes the refereed proceedings of the CCF Chinese Conference on Computer Vision, CCCV 2017, held in Tianjin, China, in October 2017. The total of 174 revised full papers presented in three volumes were carefully reviewed and selected from 465 submissions. The papers are organized in the following topical sections: biological vision inspired visual method; biomedical image analysis; computer vision applications; deep neural network; face and posture analysis; image and video retrieval; image color and texture; image composition; image quality assessment and analysis; image restoration; image segmentation and classification; image-based modeling; object detection and classification; object identification; photography and video; robot vision; shape representation and matching; statistical methods and learning; video analysis and event recognition; visual salient detection.

Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11–14, 2017, Proceedings, Part III

Jian Yang

Nanning Zheng

Zhouchen Lin

Guangming Shi

Yanning Zhang

The three-volume set LNCS 11857, 11858, and 11859 constitutes the refereed proceedings of the Second Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2019, held in Xi’an, China, in November 2019. The 165 revised full papers presented were carefully reviewed and selected from 412 submissions. The papers have been organized in the following topical sections: Part I: Object Detection, Tracking and Recognition, Part II: Image/Video Processing and Analysis, Part III: Data Analysis and Optimization.

Second Chinese Conference, PRCV 2019, Xi’an, China, November 8–11, 2019, Proceedings, Part I

Second Chinese Conference, PRCV 2019, Xi’an, China, November 8–11, 2019, Proceedings, Part III

Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11–14, 2017, Proceedings, Part I

4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part III

Gabriella Sanniti di Baja

Shivakumara Palaiahnakote

Wei Qi Yan

This two-volume set constitutes the proceedings of the 5th Asian Conference on ACPR 2019, held in Auckland, New Zealand, in November 2019. The 9 full papers presented in this volume were carefully reviewed and selected from 14 submissions. They cover topics such as: classification; action and video and motion; object detection and anomaly detection; segmentation, grouping and shape; face and body and biometrics; adversarial learning and networks; computational photography; learning theory and optimization; applications, medical and robotics; computer vision and robot vision; pattern recognition and machine learning; multi-media and signal processing and interaction.

5th Asian Conference, ACPR 2019, Auckland, New Zealand, November 26–29, 2019, Revised Selected Papers, Part II

Pattern Recognition

Cheng-Lin Liu

This book constitutes the refereed proceedings of the Chinese Conference on Pattern Recognition, CCPR 2012, held in Beijing, China, in September 2012. The 82 revised full papers presented were carefully reviewed and selected from 137 submissions. The papers are organized in topical sections on pattern recognition theory; computer vision; biometric recognition; medical imaging; image and video analysis; document analysis; speech processing; natural language processing and information retrieval.

Chinese Conference, CCPR 2012, Beijing, China, September 24-26, 2012. Proceedings

Qiuqi Ruan

This book constitutes the refereed proceedings of the Chinese Conference on Image and Graphics Technologies and Applications, IGTA 2013, held in Beijing, China, in April 2013. The 40 papers and posters presented were carefully reviewed and selected from 89 submissions. The papers address issues such as the generation of new ideas, new approaches, new techniques, new applications and new evaluation in the field of image processing and graphics.

Chinese Conference, IGTA 2013, Beijing, China, April 2-3, 2013. Proceedings

Advances in Image and Graphics Technologies

Randall Wright

Lucy Qian Liu

We develop a theory of money and credit as competing payment instruments, then put it to work in applications. Buyers can use cash or credit, with the former (latter) subject to the inflation tax (transaction costs). Frictions that make the choice of payment method interesting also imply equilibrium price dispersion. We deliver closed-form solutions for money demand. We then show the model can simultaneously account for the price-change facts, cash-credit shares in micro payment data, and money-interest correlations in macro data. We analyze the effects of inflation on welfare, price dispersion and markups. We also describe nonstationary equilibria as self-fulfilling prophecies, which is standard, except here it entails dynamics in the price distribution.

Theory and Applications

Money and Credit

Liang Wang

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