Subspace Methods for Pattern Recognition in Intelligent Environment

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Chen, Yen-Wei (Επιμελητής έκδοσης), C. Jain, Lakhmi (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
• Σειρά: Studies in Computational Intelligence, 552
• Θέματα: Engineering.; Artificial intelligence.; Pattern recognition.; Applied mathematics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).; Pattern Recognition.

This research book provides a comprehensive overview of the state-of-the-art subspace learning methods for pattern recognition in intelligent environment. With the fast development of internet and computer technologies, the amount of available data is rapidly increasing in our daily life. How to ext...

Πίνακας περιεχομένων:

• Active Shape Model and Its Application to Face Alignment
• Condition Relaxation in Conditional Statistical Shape Models
•  Independent Component Analysis and Its Application to Classification of High-Resolution Remote Sensing Images
• Subspace Construction from Artificially Generated Images for Traffic Sign Recognition
• Local Structure Preserving based Subspace Analysis Methods and Applications
• Sparse Representation for Image Super-Resolution
• Sampling and Recovery of Continuously-Defined Sparse Signals and Its Applications
• Tensor-Based Subspace Learning for Multi-Pose Face Synthesis.