图书简介
Written by world-renowned authors, this unique compendium presents the most updated progress in pattern recognition and computer vision (PRCV), fully reflecting the strong international research interests in the artificial intelligence arena.
Machine learning has been the key to current developments in PRCV. This comprehensive volume complements the previous five editions of the book. It places great emphasis on the use of deep learning in many aspects of PRCV applications, not readily available in other reference text.
Theory, Technology and Systems: A Brief Introduction to Part 1 (C H Chen); Optimal Statistical Classification (Edward R Dougherty, Jr and Lori Dalton); Deep Discriminative Feature Learning Method for Object Recognition (Weiwei Shi, Yihong Gong); Deep Learning based Background/Foreground Separation in Videos: A Survey (Thierry Bouwmans, Huu Ton Le); Snake Detection with Deep Architectures (Sedat Ozer); Efficient Deep Learning on Embedded Systems (Xianju Wang); Boosting the Power of Random Forests Using Locally-Scoped Decision Trees (G Armano, A Giuliani, and E Tamponi); Random Forest for Dissimilarity-based Pattern Recognition (Simon Bernard); A Review of Image Colourisation (Bo Li, Yu-Kun Lai, Paul L Rosin); Recent Progress of Deep Learning for Speech Recognition (Jinyu Li and Dong Yu); Applications: A Brief Introduction to Part 2 (C H Chen); Machine Learning in Remote Sensing (Ronny Hänsch); Hyperspectral and Spatially Adaptive Unmixing (Fadi Kizel and Jon Atli Benediktsson); Image Processing for Sea Ice Parameters from Visual Images (Qin Zhang); Deep Learning for Image Reconstruction (Zhiyang Fu, Sagar Mandaava and Ali Bilgin); Applications of Deep Learning to Segmentation and Labeling of MRI Brain Structures (Evan Fletcher and Alexander Knaack); Automatic Segmentation of IVUS Images Based on Temporal Texture Analysis (A Gangidi and C H Chen); Deep Learning for Historical Document Analysis (Marcus Liwicki); Signature Verification via Graph-Based Methods (Paul Maergner, Kaspar Riesen, Rolf Ingold, Andreas Fischer); Cellular Neural Network for Seismic Pattern Recognition (K Y Huang); Incorporating Facial Attributes in Cross-modal Face Verification and Synthesis (Hadi Kazemi (student), Seyed Mehdi Iranmanesh (student) and Nasser M Nasrabadi); Controlling Steering Angle for Cooperative Self-Driving Vehicles Utilizing CNN and LSTM Based Deep Networks (R Valiente, M Zaman, S Ozer, Y P Fallan);
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