Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Artificial intelligence. Robotics. Simulation. Graphics --- Neural networks (Computer science) --- Réseaux neuronaux (Informatique) --- Réseaux neuronaux (Informatique)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

"Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems establishes a condition, arguably necessary and sufficient, for the kernelization of learning models. In addition, several other theorems are devoted to proving mathematical equivalence between seemingly unrelated models. With over 25 closed-form and iterative algorithms, the book provides a step-by-step guide to algorithmic procedures and analysing which factors to consider in tackling a given problem, enabling readers to improve specifically designed learning algorithms, build models for new applications and develop efficient techniques suitable for green machine learning technologies. Numerous real-world examples and over 200 problems, several of which are Matlab-based simulation exercises, make this an essential resource for graduate students and professionals in computer science, electrical and biomedical engineering. Solutions to problems are provided online for instructors"-- "Provides an overview of the broad spectrum of applications and problem formulations for kernel-based unsupervised and supervised learning methods. The dimension of the original vector space, along with its Euclidean inner product, often proves to be highly inadequate for complex data analysis. In order to provide a more e

Support vector machines. --- Machine learning. --- Kernel functions. --- Functions, Kernel --- Functions of complex variables --- Geometric function theory --- Learning, Machine --- Artificial intelligence --- Machine theory --- SVMs (Algorithms) --- Algorithms --- Kernel functions --- Supervised learning (Machine learning) --- COMPUTERS / Computer Vision & Pattern Recognition. --- Support vector machines --- Machine learning

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems establishes a condition, arguably necessary and sufficient, for the kernelization of learning models. In addition, several other theorems are devoted to proving mathematical equivalence between seemingly unrelated models. With over 25 closed-form and iterative algorithms, the book provides a step-by-step guide to algorithmic procedures and analysing which factors to consider in tackling a given problem, enabling readers to improve specifically designed learning algorithms, build models for new applications and develop efficient techniques suitable for green machine learning technologies. Numerous real-world examples and over 200 problems, several of which are Matlab-based simulation exercises, make this an essential resource for graduate students and professionals in computer science, electrical and biomedical engineering. Solutions to problems are provided online for instructors.

Support vector machines. --- Machine learning. --- Kernel functions.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Artificial intelligence. Robotics. Simulation. Graphics --- Mathematical statistics --- Neural networks (Computer science) --- Réseaux neuronaux (Informatique) --- Neural networks (Computer science). --- Réseaux neuronaux (Informatique)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

“If you have built castles in the air, your work need not be lost; that is where they should be. Now put the foundations under them. ” - Henry David Thoreau, Walden Although engineering is a study entrenched firmly in belief of pr- matism, I have always believed its impact need not be limited to pr- matism. Pragmatism is not the boundaries that define engineering, just the (sometimes unforgiving) rules by which we sight our goals. This book studies two major problems of content-based video proce- ing for a media-based technology: Video Object Plane (VOP) Extr- tion and Representation, in support of the MPEG-4 and MPEG-7 video standards, respectively. After reviewing relevant image and video p- cessing techniques, we introduce the concept of Voronoi Ordered Spaces for both VOP extraction and representation to integrate shape infor- tion into low-level optimization algorithms and to derive robust shape descriptors, respectively. We implement a video object segmentation system with a novel surface optimization scheme that integrates Voronoi Ordered Spaces with existing techniques to balance visual information against predictions of models of a priori information. With these VOPs, we have explicit forms of video objects that give users the ability to - dress and manipulate video content. We outline a general methodology of robust data representation and comparison through the concept of complex partitioning mapped onto Directed Acyclic Graphs (DAGs).

Digital video. --- MPEG (Video coding standard) --- Image processing --- Directed graphs. --- Digital techniques. --- Computer vision. --- Computer engineering. --- Computer graphics. --- Multimedia systems. --- Image Processing and Computer Vision. --- Signal, Image and Speech Processing. --- Electrical Engineering. --- Computer Graphics. --- Multimedia Information Systems. --- Optical data processing. --- Signal processing. --- Image processing. --- Speech processing systems. --- Electrical engineering. --- Multimedia information systems. --- Computer-based multimedia information systems --- Multimedia computing --- Multimedia information systems --- Multimedia knowledge systems --- Information storage and retrieval systems --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Electric engineering --- Engineering --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Digital techniques --- Optical equipment --- Digraphs (Graph theory) --- Oriented graphs --- Graph theory --- Digital image processing --- Digital electronics --- Motion Picture Experts Group standard --- Digital video --- Video compression --- Digital motion video --- PC video --- Video, Digital --- Computer graphics --- Digital media --- Multimedia systems --- Standards