Pattern Recognition and Machine Intelligence

Editorial Reviews

Pattern Recognition and Machine Intelligence: 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings (Lecture Notes in Computer Science)

This book constitutes the proceedings of the 7th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2017,held in Kolkata, India, in December 2017.

The total of 86 full papers presented in this volume were carefully reviewed and selected from 293 submissions. They were organized in topical sections named: pattern recognition and machine learning; signal and image processing; computer vision and video processing; soft and natural computing; speech and natural language processing; bioinformatics and computational biology; data mining and big data analytics; deep learning; spatial data science and engineering; and applications of pattern recognition and machine intelligence.

Table of Contents

Chapter 1. An Incremental Fast Policy Search Using a Single Sample Path
Chapter 2. Biometric Counter-Spoofing for Mobile Devices Using Gaze Information
Chapter 3. kNN Classification with an Outlier Informative Distance Measure
Chapter 4. Tree-Based Structural Twin Support Tensor Clustering with Square Loss Function
Chapter 5. Kernel Entropy Discriminant Analysis for Dimension Reduction
Chapter 6. A New Method to Address Singularity Problem in Multimodal Data Analysis
Chapter 7. Label Correlation Propagation for Semi-supervised Multi-label Learning
Chapter 8. Formulation of Two Stage Multiple Kernel Learning Using Regression Framework
Chapter 9. A Two-Stage Conditional Random Field Model Based Framework for Multi-Label Classification
Chapter 10. A Matrix Factorization & Clustering Based Approach for Transfer Learning
Chapter 11. Feature Selection and Fuzzy Rule Mining for Epileptic Patients from Clinical EEG Data
Chapter 12. Selection of Relevant Electrodes Based on Temporal Similarity for Classification of Motor Imagery Tasks
Chapter 13. Automated Measurement of Translational Margins and Rotational Shifts in Pelvic Structures Using CBCT Images of Rectal Cancer Patients
Chapter 14. Exploring the Scope of HSV Color Channels Towards Simple Shadow Contour Detection
Chapter 15. Linear Curve Fitting-Based Headline Estimation in Handwritten Words for Indian Scripts
Chapter 16. Object Segmentation in Texture Images Using Texture Gradient Based Active Contours
Chapter 17. A Variance Based Image Binarization Scheme and Its Application in Text Segmentation
Chapter 18. Variants of Locality Preserving Projection for Modular Face and Facial Expression Recognition
Chapter 19. A Robust Color Video Watermarking Technique Using DWT, SVD and Frame Difference
Chapter 20. Aggregated Channel Features with Optimum Parameters for Pedestrian Detection
Chapter 21. Object Tracking with Classification Score Weighted Histogram of Sparse Codes
Chapter 22. A Machine Learning Inspired Approach for Detection, Recognition and Tracking of Moving Objects from Real-Time Video
Chapter 23. Does Rotation Influence the Estimated Contour Length of a Digital Object?
Chapter 24. Abnormal Crowd Behavior Detection Based on Combined Approach of Energy Model and Threshold
Chapter 25. Unsupervised Feature Descriptors Based Facial Tracking over Distributed Geospatial Subspaces
Chapter 26. Face Detection Based on Frequency Domain Features
Chapter 27. A Study on the Properties of 3D Digital Straight Line Segments
Chapter 28. Unlocking the Mechanism of Devanagari Letter Identification Using Eye Tracking
Chapter 29. Video Stabilization Using Sliding Frame Window
Chapter 30. Palmprint and Finger Knuckle Based Person Authentication with Random Forest via Kernel-2DPCA
Chapter 31. A Fuzzy-LP Approach in Time Series Forecasting
Chapter 32. Third Order Backward Elimination Approach for Fuzzy-Rough Set Based Feature Selection
Chapter 33. A Novel OCR System Based on Rough Set Semi-reduct
Chapter 34. Rough Set Rules Determine Disease Progressions in Different Groups of Parkinson’s Patients
Chapter 35. Adversarial Optimization of Indoor Positioning System Using Differential Evolution
Chapter 36. Fast Convergence to Near Optimal Solution for Job Shop Scheduling Using Cat Swarm Optimization
Chapter 37. Music-Induced Emotion Classification from the Prefrontal Hemodynamics
Chapter 38. Analysis of Features and Metrics for Alignment in Text-Dependent Voice Conversion
Chapter 39. Effectiveness of Mel Scale-Based ESA-IFCC Features for Classification of Natural vs. Spoofed Speech
Chapter 40. Novel Phase Encoded Mel Filterbank Energies for Environmental Sound Classification
Chapter 41. An Adaptive i-Vector Extraction for Speaker Verification with Short Utterance
Chapter 42. Spoken Keyword Retrieval Using Source and System Features
Chapter 43. Novel Gammatone Filterbank Based Spectro-Temporal Features for Robust Phoneme Recognition
Chapter 44. Neural Networks Compression for Language Modeling
Chapter 45. A Metaphor Detection Approach Using Cosine Similarity
Chapter 46. Named Entity Identification Based Translation Disambiguation Model
Chapter 47. LEXER: LEXicon Based Emotion AnalyzeR
Chapter 48. Lexical TF-IDF: An n-gram Feature Space for Cross-Domain Classification of Sentiment Reviews
Chapter 49. A Method for Semantic Relatedness Based Query Focused Text Summarization
Chapter 50. Efficient and Effective Multiple Protein Sequence Alignment Model Using Dynamic Progressive Approach with Novel Look Back Ahead Scoring System
Chapter 51. Classification of Vector-Borne Virus Through Totally Ordered Set of Dinucleotide Interval Patterns
Chapter 52. A Quasi-Clique Mining Algorithm for Analysis of the Human Protein-Protein Interaction Network
Chapter 53. Prediction of Thyroid Cancer Genes Using an Ensemble of Post Translational Modification, Semantic and Structural Similarity Based Clustering Results
Chapter 54. mRMR+: An Effective Feature Selection Algorithm for Classification
Chapter 55. Topological Inquisition into the PPI Networks Associated with Human Diseases Through Graphlet Frequency Distribution
Chapter 56. Machine Learning Approach for Identification of miRNA-mRNA Regulatory Modules in Ovarian Cancer
Chapter 57. K-Means Algorithm to Identify k1-Most Demanding Products
Chapter 58. Detection of Atypical Elements by Transforming Task to Supervised Form
Chapter 59. Mining Rare Patterns Using Hyper-Linked Data Structure
Chapter 60. Random Binary Search Trees for Approximate Nearest Neighbour Search in Binary Space
Chapter 61. A Graphical Model for Football Story Snippet Synthesis from Large Scale Commentary
Chapter 62. An Efficient Approach for Mining Frequent Subgraphs
Chapter 63. Image Annotation Using Latent Components and Transmedia Association
Chapter 64. Incremental Learning of Non-stationary Temporal Causal Networks for Telecommunication Domain
Chapter 65. Effectiveness of Representation and Length Variation of Shortest Paths in Graph Classification
Chapter 66. An Efficient Encoding Scheme for Dynamic Multidimensional Datasets
Chapter 67. Stacked Features Based CNN for Rotation Invariant Digit Classification
Chapter 68. Improving the Performance of Deep Learning Based Speech Enhancement System Using Fuzzy Restricted Boltzmann Machine
Chapter 69. A Study on Deep Convolutional Neural Network Based Approaches for Person Re-identification
Chapter 70. Two-Stream Convolutional Network with Multi-level Feature Fusion for Categorization of Human Action from Videos
Chapter 71. Learning Deep Representation for Place Recognition in SLAM
Chapter 72. Performance of Deep Learning Algorithms vs. Shallow Models, in Extreme Conditions – Some Empirical Studies
Chapter 73. Deep Learning in the Domain of Multi-Document Text Summarization
Chapter 74. Space-Time Super-Resolution Using Deep Learning Based Framework
Chapter 75. A Spatio-temporal Feature Learning Approach for Dynamic Scene Recognition
Chapter 76. Spatial Distribution Based Provisional Disease Diagnosis in Remote Healthcare
Chapter 77. Extraction of Phenotypic Traits for Drought Stress Study Using Hyperspectral Images
Chapter 78. Spatio-Temporal Prediction of Meteorological Time Series Data: An Approach Based on Spatial Bayesian Network (SpaBN)
Chapter 79. Adaptive TerraSAR-X Image Registration (AIR) Using Spatial Fisher Kernel Framework
Chapter 80. Hierarchical Ranking of Cricket Teams Incorporating Player Composition
Chapter 81. Smart Water Management: An Ontology-Driven Context-Aware IoT Application
Chapter 82. Structured Prediction of Music Mood with Twin Gaussian Processes
Chapter 83. Differentiating Pen Inks in Handwritten Bank Cheques Using Multi-layer Perceptron
Chapter 84. Analysis of Causal Interactions and Predictive Modelling of Financial Markets Using Econometric Meth …
Chapter 85. Opinion Mining Using Support Vector Machine with Web Based Diverse Data
Chapter 86. Harnessing Online News for Sarcasm Detection in Hindi Tweets
Chapter 87. Concept-Based Approach for Research Paper Recommendation

Book Details

  • Pages: 695 pages
  • Edition: 1st ed. 2017
  • Publication Date: 2017-12-06
  • Publisher:
  • Language: English
  • ISBN-10: 3319698990
  • ISBN-13: 9783319698991

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Adobe Photoshop Elements 2018 Classroom in a Book

Editorial Reviews

Adobe Photoshop Elements 2018 Classroom in a Book is the most thorough and comprehensive way for you to master Adobe’s industry-leading consumer-targeted photo-editing software. Each chapter in this step-by-step, lesson-based guide contains a project that builds on your growing knowledge of the program, while end-of-chapter review questions reinforce each lesson. You will learn the basics of editing your images with Photoshop Elements and learn how to best use the program’s many new features.

This edition covers many new and improved features in Adobe Photoshop Elements 2018, from the Auto Curate feature that makes it easier than ever to organize and find your photos by analyzing your library to present just the best images, to a revamped slide show, and new tools that will help you make complex selections in moments or improve a portrait by opening closed eyes. New exercises explore enhancements in the Organizer, an improved selection workflow, and several of the latest guided edits. You’ll discover new tools that let you expand your creativity. And you’ll learn how to print, export, and share your images.

Table of Contents

Chapter 1 A Quick Tour Of Photoshop Elements
Chapter 2 Importing And Sorting Photos
Chapter 3 Tagging, Grouping, And Searching Photos
Chapter 4 Image Editing Background & Basics
Chapter 5 Working With Color And Making Selections
Chapter 6 Fixing Lighting And Exposure Problems
Chapter 7 Reframing, Retouching, And Recomposing Images
Chapter 8 Combining Images
Chapter 9 Getting Creative
Chapter 10 Printing, Sharing, And Exporting

Book Details

  • Author: ,
  • Pages: 320 pages
  • Edition: 1
  • Publication Date: 2017-12-14
  • Publisher:
  • Language: English
  • ISBN-10: 0134844351
  • ISBN-13: 9780134844350

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The Adobe Photoshop Lightroom Classic CC Book

Editorial Reviews

The Adobe Photoshop Lightroom Classic CC Book: Plus an introduction to the new Adobe Photoshop Lightroom CC across desktop, web, and mobile

Adobe Photoshop Lightroom Classic CC is one of the most powerful tools a digital photographer has in their toolset, offering powerful editing features in a streamlined interface that lets photographers import, sort, and organize images. In this completely updated bestseller, author Martin Evening describes Lightroom Classic CC features in detail, covering library organization, develop image processing, output modules, and the latest Lightroom CC/mobile features. As an established commercial and landscape photographer, Martin knows firsthand what photographers need for an efficient workflow. He has been working with Lightroom from the beginning, and as a result, knows the software inside and out. In this book, he’ll teach you how to:

  • Work efficiently with images shot in raw or JPEG formats
  • Import photographs with ease and sort them according to your workflow
  • Create and manage a personal image and video library
  • Integrate Lightroom with Adobe Photoshop
  • Prepare images for print, slideshows, or to create a book
  • Make the most of new features, such as the ability to migrate and sync photos via the cloud

Photographers will find Lightroom Classic CC–and The Adobe Photoshop Lightroom Classic CC Book–indispensable tools in their digital darkrooms.

“With Martin’s expert guidance, you’ll soon find that you have precisely the tools you need to turn your concentration back where it belongs—on making better pictures!”

—George Jardine, digital photography consultant

“As a photographer himself, Martin Evening knows what tools photographers need to realize their creative vision. In this book, he shows not only how Adobe Photoshop Lightroom works but also why it will become an essential part of any photographer’s workflow.”

—Greg Gorman, photographer

Table of Contents

Chapter 1 Introducing Adobe Photoshop Lightroom
Chapter 2 Importing Photos
Chapter 3 The Library Module
Chapter 4 Develop Module Image Editing
Chapter 5 The Art Of Black And White
Chapter 6 Sharpening And Noise Reduction
Chapter 7 Exporting From Lightroom
Chapter 8 Printing
Chapter 9 Presenting Your Work
Chapter 10 Managing Your Photos In Lightroom
Chapter 11 Lightroom Cc/Mobile
Chapter 12 Lightroom Preferences And Settings

Book Details

  • Author:
  • Pages: 752 pages
  • Edition: 1
  • Publication Date: 2017-12-18
  • Publisher:
  • Language: English
  • ISBN-10: 0134508106
  • ISBN-13: 9780134508108

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Big Data Benchmarking

Editorial Reviews

Big Data Benchmarking: 5th International Workshop, WBDB 2014, Potsdam, Germany, August 5-6- 2014, Revised Selected Papers (Lecture Notes in Computer Science)

This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Big Data Benchmarking, WBDB 2014, held in Potsdam, Germany, in August 2014.

The 13 papers presented in this book were carefully reviewed and selected from numerous submissions and cover topics such as benchmarks specifications and proposals, Hadoop and MapReduce – in the different context such as virtualization and cloud – as well as in-memory, data generation, and graphs.

Table of Contents

Chapter 1. Benchmark Specifications and Proposals
Chapter 2. Hadoop and MapReduce
Chapter 3. In-Memory, Data Generation and Graphs

Book Details

  • Pages: 157 pages
  • Edition: 2015
  • Publication Date: 2015-06-15
  • Publisher:
  • Language: English
  • ISBN-10: 3319202324
  • ISBN-13: 9783319202327

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Financial Cryptography and Data Security

Editorial Reviews

Financial Cryptography and Data Security: FC 2017 International Workshops, WAHC, BITCOIN, VOTING, WTSC, and TA, Sliema, Malta, April 7, 2017, Revised … Papers (Lecture Notes in Computer Science)

This book constitutes the refereed proceedings of 5 workshops held at the 21st International Conference on Financial Cryptography and Data Security, FC 2017, in Sliema, Malta, in April 2017.

The 39 full papers presented were carefully reviewed and selected from 96 submissions. They feature the outcome of the 5th Workshop on Encrypted Computing and Applied Homomorphic Cryptography, WAHC 2017, the 4th Workshop on Bitcoin and Blockchain Research, BITCOIN 2017, the Second Workshop on Secure Voting Systems, VOTING 2017, the First Workshop on Trusted Smart Contracts, WTSC 2017, and the First Workshop on Targeted Attacks, TA 2017.

The papers are grouped in topical sections named: encrypted computing and applied homomorphic cryptography; bitcoin and blockchain research; advances in secure electronic voting schemes; trusted smart contracts; targeted attacks.

Table of Contents

Chapter 1. Simple Encrypted Arithmetic Library – SEAL v2.1
Chapter 2. Towards Privacy-Preserving Multi-party Bartering
Chapter 3. Multi-level Access in Searchable Symmetric Encryption
Chapter 4. Privacy-Preserving Computations of Predictive Medical Models with Minimax Approximation and Non-Adjacent Form
Chapter 5. Private Outsourced Kriging Interpolation
Chapter 6. An Analysis of FV Parameters Impact Towards Its Hardware Acceleration
Chapter 7. Controlled Homomorphic Encryption: Definition and Construction
Chapter 8. ValueShuffle: Mixing Confidential Transactions for Comprehensive Transaction Privacy in Bitcoin
Chapter 9. Could Network Information Facilitate Address Clustering in Bitcoin?
Chapter 10. Switch Commitments: A Safety Switch for Confidential Transactions
Chapter 11. (Short Paper) PieceWork: Generalized Outsourcing Control for Proofs of Work
Chapter 12. Enhancing Bitcoin Transactions with Covenants
Chapter 13. Decentralized Prediction Market Without Arbiters
Chapter 14. An Analysis of Bitcoin OP_RETURN Metadata
Chapter 15. Constant-Deposit Multiparty Lotteries on Bitcoin
Chapter 16. Exchange Pattern Mining in the Bitcoin Transaction Directed Hypergraph
Chapter 17. Incentivizing Blockchain Forks via Whale Transactions
Chapter 18. Mixing Coins of Different Quality: A Game-Theoretic Approach
Chapter 19. Smart Contracts Make Bitcoin Mining Pools Vulnerable
Chapter 20. BatchVote: Voting Rules Designed for Auditability
Chapter 21. Existential Assertions for Voting Protocols
Chapter 22. Marked Mix-Nets
Chapter 23. Pseudo-Code Algorithms for Verifiable Re-encryption Mix-Nets
Chapter 24. Using Selene to Verify Your Vote in JCJ
Chapter 25. A Roadmap to Fully Homomorphic Elections: Stronger Security, Better Verifiability
Chapter 26. Enabling Vote Delegation for Boardroom Voting
Chapter 27. Practical Governmental Voting with Unconditional Integrity and Privacy
Chapter 28. Findel: Secure Derivative Contracts for Ethereum
Chapter 29. Decentralized Execution of Smart Contracts: Agent Model Perspective and Its Implications
Chapter 30. A Concurrent Perspective on Smart Contracts
Chapter 31. An Empirical Analysis of Smart Contracts: Platforms, Applications, and Design Patterns
Chapter 32. Trust in Smart Contracts is a Process, As Well
Chapter 33. Defining the Ethereum Virtual Machine for Interactive Theorem Provers
Chapter 34. SmartCast: An Incentive Compatible Consensus Protocol Using Smart Contracts
Chapter 35. On the Feasibility of Decentralized Derivatives Markets
Chapter 36. A Proof-of-Stake Protocol for Consensus on Bitcoin Subchains
Chapter 37. X-Platform Phishing: Abusing Trust for Targeted Attacks Short Paper
Chapter 38. What to Phish in a Subject?
Chapter 39. Unpacking Spear Phishing Susceptibility
Chapter 40. Scripting Smart Contracts for Distributed Ledger Technology
Chapter 41. ZeroTrade: Privacy Respecting Assets Trading System Based on Public Ledger

Book Details

  • Pages: 636 pages
  • Edition: 1st ed. 2017
  • Publication Date: 2017-12-24
  • Publisher:
  • Language: English
  • ISBN-10: 3319702777
  • ISBN-13: 9783319702773

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