Machine Learning Techniques for Multimedia Case Studies on Organization and Retrieval /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Cord, Matthieu (Επιμελητής έκδοσης), Cunningham, Pádraig (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Σειρά: Cognitive Technologies,
• Θέματα: Computer science.; Data mining.; Information storage and retrieval.; User interfaces (Computer systems).; Artificial intelligence.; Text processing (Computer science).; Computer graphics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Information Storage and Retrieval.; User Interfaces and Human Computer Interaction.; Data Mining and Knowledge Discovery.; Document Preparation and Text Processing.; Computer Imaging, Vision, Pattern Recognition and Graphics.

Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Applying machi...

Πίνακας περιεχομένων:

• to Learning Principles for Multimedia Data
• to Bayesian Methods and Decision Theory
• Supervised Learning
• Unsupervised Learning and Clustering
• Dimension Reduction
• Multimedia Applications
• Online Content-Based Image Retrieval Using Active Learning
• Conservative Learning for Object Detectors
• Machine Learning Techniques for Face Analysis
• Mental Search in Image Databases: Implicit Versus Explicit Content Query
• Combining Textual and Visual Information for Semantic Labeling of Images and Videos
• Machine Learning for Semi-structured Multimedia Documents: Application to Pornographic Filtering and Thematic Categorization
• Classification and Clustering of Music for Novel Music Access Applications.