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• Pattern Recognition Methods and Applications:Fundamental Methodological Issues of Syntactic Pattern Recognition (Mariusz Flasinski); Learning from Examples (Marco Loog); Pattern Recognition Using Integrated Deep Generative and Discriminative Models (Li Deng); Information Theoretic Clustering Using a K-nn Approach (Vidar Vikjord and Robert Jenssen); Rejection Mechanisms in Random Forests with Application to Medical Image Classification (Laurent Heutte); Recent Advances on Optimum-Path Forest for Data Classification: Supervised, Semi-Supervised and Unsupervised Learning (Joao Paulo Papa, Willian Paraguassu, Amorim, Alexandre Falcao, Joao Manuel and R S Tavares); On Curvelet-Based Texture Features for Pattern Classification (Ching-Chung Li and Wen-Chyi Lin); On Computer Recognition and Evaluation of Coins (C Y Suen et al.); Supervised and Unsupervised Feature Extraction Methods for Underwater Fish Species Recognition (Meng-Che Chuang, Jeng-Neng Hwang and Kresimir Willimans); Personalized Music Emotion Recognition Using Gaussian Mixture Model (Yi-Hsuan Yang, Ju-Chiang Wang, Alex Chen and Homer Chen); Computer Vision and Image Processing:Context Assisted Face Tagging for Images and Videos (Liyan Zhang and Sharad Mehrotra); A Review of Statistical Shapes (Alan Brunton, Timo Bolkart and Stefanie Wuhrer); Tracking without Appearance Descriptors (Mehrsan Javan Roshtkari and Martin D Levine); Knowledge Augmented Visual Learning (Q Ji); Graph Edit Distance - Novel Approximation Algorithms and Applications (Kaspar Riesen and Horst Bunke); Latest Developments of LSTM Neural Networks with Applications of Document Image Analysis (Marcus Liwicki, Volkmar Frinken and Zeshan Afzal); Analyzing Remote Sensing Images with Mathematical Morphology: From Classic Filtering to Advanced Self-Dual Attribute Profiles (Gabriele Cavallaro, Mauro Dalla Mura and Jon Atli Benediktsson); Manifold-Based Sparse Representation for Hyperspectral Image Classification (Y T Tang); A Review of Texture Analysis Methods and Their Applications in Medical Image Analysis of The Brain (R Maani, S Kalra and Y H Yang); 3D Tomosynthesis to Detect Breast Cancer (C Y Suen et al.); System, Architecture and Technology:Visual Object Recognition in Large Datasets (Sedat Ozer); Efficient Identification of Faces in Video Streams Using Low-Power Multi-Core Devices (D Prieur, E Grander, Y Savaria and C Thibeault); Shadow Modeling Based Upon Rayleigh Scattering and Mie Theory (Lin Gu and Antonio Robles Kelly); Tracking Using Structural Support-Vector Detectors and Robust Kalman Filtering (Eraldo Ribeiro); An Overview of Industrial Use of 3D Vision for Inspection (David Michael); Vision Challenges in Image-Based Barcode Readers (Xianju Wang and Xiangyun Ye); Kernel-Based Learning for Fault Detection and Identification in Fuel Cell Systems (Andrea De Giorgi, Gabriele Moser, Lissy Pellaco, Sebastiano B Serpico and Andrea Trucco);

Select Guide Rating

• Pattern Recognition Methods and Applications:Fundamental Methodological Issues of Syntactic Pattern Recognition (Mariusz Flasinski); Learning from Examples (Marco Loog); Pattern Recognition Using Integrated Deep Generative and Discriminative Models (Li Deng); Information Theoretic Clustering Using a K-nn Approach (Vidar Vikjord and Robert Jenssen); Rejection Mechanisms in Random Forests with Application to Medical Image Classification (Laurent Heutte); Recent Advances on Optimum-Path Forest for Data Classification: Supervised, Semi-Supervised and Unsupervised Learning (Joao Paulo Papa, Willian Paraguassu, Amorim, Alexandre Falcao, Joao Manuel and R S Tavares); On Curvelet-Based Texture Features for Pattern Classification (Ching-Chung Li and Wen-Chyi Lin); On Computer Recognition and Evaluation of Coins (C Y Suen et al.); Supervised and Unsupervised Feature Extraction Methods for Underwater Fish Species Recognition (Meng-Che Chuang, Jeng-Neng Hwang and Kresimir Willimans); Personalized Music Emotion Recognition Using Gaussian Mixture Model (Yi-Hsuan Yang, Ju-Chiang Wang, Alex Chen and Homer Chen); Computer Vision and Image Processing:Context Assisted Face Tagging for Images and Videos (Liyan Zhang and Sharad Mehrotra); A Review of Statistical Shapes (Alan Brunton, Timo Bolkart and Stefanie Wuhrer); Tracking without Appearance Descriptors (Mehrsan Javan Roshtkari and Martin D Levine); Knowledge Augmented Visual Learning (Q Ji); Graph Edit Distance - Novel Approximation Algorithms and Applications (Kaspar Riesen and Horst Bunke); Latest Developments of LSTM Neural Networks with Applications of Document Image Analysis (Marcus Liwicki, Volkmar Frinken and Zeshan Afzal); Analyzing Remote Sensing Images with Mathematical Morphology: From Classic Filtering to Advanced Self-Dual Attribute Profiles (Gabriele Cavallaro, Mauro Dalla Mura and Jon Atli Benediktsson); Manifold-Based Sparse Representation for Hyperspectral Image Classification (Y T Tang); A Review of Texture Analysis Methods and Their Applications in Medical Image Analysis of The Brain (R Maani, S Kalra and Y H Yang); 3D Tomosynthesis to Detect Breast Cancer (C Y Suen et al.); System, Architecture and Technology:Visual Object Recognition in Large Datasets (Sedat Ozer); Efficient Identification of Faces in Video Streams Using Low-Power Multi-Core Devices (D Prieur, E Grander, Y Savaria and C Thibeault); Shadow Modeling Based Upon Rayleigh Scattering and Mie Theory (Lin Gu and Antonio Robles Kelly); Tracking Using Structural Support-Vector Detectors and Robust Kalman Filtering (Eraldo Ribeiro); An Overview of Industrial Use of 3D Vision for Inspection (David Michael); Vision Challenges in Image-Based Barcode Readers (Xianju Wang and Xiangyun Ye); Kernel-Based Learning for Fault Detection and Identification in Fuel Cell Systems (Andrea De Giorgi, Gabriele Moser, Lissy Pellaco, Sebastiano B Serpico and Andrea Trucco);

Select Guide Rating

• Pattern Recognition Methods and Applications:Fundamental Methodological Issues of Syntactic Pattern Recognition (Mariusz Flasinski); Learning from Examples (Marco Loog); Pattern Recognition Using Integrated Deep Generative and Discriminative Models (Li Deng); Information Theoretic Clustering Using a K-nn Approach (Vidar Vikjord and Robert Jenssen); Rejection Mechanisms in Random Forests with Application to Medical Image Classification (Laurent Heutte); Recent Advances on Optimum-Path Forest for Data Classification: Supervised, Semi-Supervised and Unsupervised Learning (Joao Paulo Papa, Willian Paraguassu, Amorim, Alexandre Falcao, Joao Manuel and R S Tavares); On Curvelet-Based Texture Features for Pattern Classification (Ching-Chung Li and Wen-Chyi Lin); On Computer Recognition and Evaluation of Coins (C Y Suen et al.); Supervised and Unsupervised Feature Extraction Methods for Underwater Fish Species Recognition (Meng-Che Chuang, Jeng-Neng Hwang and Kresimir Willimans); Personalized Music Emotion Recognition Using Gaussian Mixture Model (Yi-Hsuan Yang, Ju-Chiang Wang, Alex Chen and Homer Chen); Computer Vision and Image Processing:Context Assisted Face Tagging for Images and Videos (Liyan Zhang and Sharad Mehrotra); A Review of Statistical Shapes (Alan Brunton, Timo Bolkart and Stefanie Wuhrer); Tracking without Appearance Descriptors (Mehrsan Javan Roshtkari and Martin D Levine); Knowledge Augmented Visual Learning (Q Ji); Graph Edit Distance - Novel Approximation Algorithms and Applications (Kaspar Riesen and Horst Bunke); Latest Developments of LSTM Neural Networks with Applications of Document Image Analysis (Marcus Liwicki, Volkmar Frinken and Zeshan Afzal); Analyzing Remote Sensing Images with Mathematical Morphology: From Classic Filtering to Advanced Self-Dual Attribute Profiles (Gabriele Cavallaro, Mauro Dalla Mura and Jon Atli Benediktsson); Manifold-Based Sparse Representation for Hyperspectral Image Classification (Y T Tang); A Review of Texture Analysis Methods and Their Applications in Medical Image Analysis of The Brain (R Maani, S Kalra and Y H Yang); 3D Tomosynthesis to Detect Breast Cancer (C Y Suen et al.); System, Architecture and Technology:Visual Object Recognition in Large Datasets (Sedat Ozer); Efficient Identification of Faces in Video Streams Using Low-Power Multi-Core Devices (D Prieur, E Grander, Y Savaria and C Thibeault); Shadow Modeling Based Upon Rayleigh Scattering and Mie Theory (Lin Gu and Antonio Robles Kelly); Tracking Using Structural Support-Vector Detectors and Robust Kalman Filtering (Eraldo Ribeiro); An Overview of Industrial Use of 3D Vision for Inspection (David Michael); Vision Challenges in Image-Based Barcode Readers (Xianju Wang and Xiangyun Ye); Kernel-Based Learning for Fault Detection and Identification in Fuel Cell Systems (Andrea De Giorgi, Gabriele Moser, Lissy Pellaco, Sebastiano B Serpico and Andrea Trucco);