Contents Chapter 1 Recent Advances in Pattern Classification Marek R. Ogiela, Lakhmi C Jain 1 New Directions in Pattern Classification References Chapter 2 Neural Networks for Handwriting Recognition Marcus Liwicki. Alex graves. horst bunke 1 Introduction 1.1 State-of-the-Art 1. 2 Contribution 2 Data processing 2.1 General Processing Steps 2.2 Our Online System 2.3 Our Offline System 3 Neural Network Based Recognition 3.1 Recurrent Neural Networks(RNNs) 3.2 Long Short-Term Memory (LSTM) 3.3 Bidirectional Recurrent Neural Networks 3.4 Connectionist Temporal Classification(CTC) 3.5 Multidimensional Recurrent Neural Networks 3.6 Hierarchical Subsampling Recurrent Neural Networks Experiments…… 4.1 Comparison with HMMs on the IAM Databases.... 4.2 Recognition Performance of MdlStM on Contest'Data 5 Conclusion References Chapter 3 Moving Object Detection from Mobile Platforms Using Stereo Data Angel D Sappa, David Geronimo, Fadi Dornaika, Mohammad Rouhani Antonio M. Lopez 1 Introduction 2 Related WorkContents Chapter 1 Recent Advances in Pattern Classification..........................................................1 Marek R. Ogiela, Lakhmi C. Jain 1 New Directions in Pattern Classification......................................................1 References .........................................................................................................4 Chapter 2 Neural Networks for Handwriting Recognition..................................................5 Marcus Liwicki, Alex Graves, Horst Bunke 1 Introduction ..................................................................................................5 1.1 State-of-the-Art.....................................................................................6 1.2 Contribution..........................................................................................7 2 Data Processing ............................................................................................8 2.1 General Processing Steps......................................................................9 2.2 Our Online System .............................................................................10 2.3 Our Offline System.............................................................................12 3 Neural Network Based Recognition ...........................................................12 3.1 Recurrent Neural Networks (RNNs)...................................................12 3.2 Long Short-Term Memory (LSTM) ...................................................13 3.3 Bidirectional Recurrent Neural Networks...........................................16 3.4 Connectionist Temporal Classification (CTC) ...................................16 3.5 Multidimensional Recurrent Neural Networks ...................................17 3.6 Hierarchical Subsampling Recurrent Neural Networks......................18 4 Experiments ................................................................................................18 4.1 Comparison with HMMs on the IAM Databases................................18 4.2 Recognition Performance of MDLSTM on Contest’ Data .................20 5 Conclusion ..................................................................................................21 References .......................................................................................................21 Chapter 3 Moving Object Detection from Mobile Platforms Using Stereo Data Registration......................................................................................................... 25 Angel D. Sappa, David Gerónimo, Fadi Dornaika, Mohammad Rouhani, Antonio M. López 1 Introduction ............................................................................................... 25 2 Related Work............................................................................................. 26