Dictionary Learning Algorithms and Applications Presents all relevant dictionary learning algorithms - for the standard problem and its main variations - in detail and ready for implementation Covers all dictionary structures that are meaningful in applications Examines the numerical properties of the algorithms and shows how to choose the appropriate dictionary learning algorithm
This handbook compares the main analytic frameworks and methods of contemporary linguistics. It offers a unique overview of linguistic theory, revealing the common concerns of competing approaches. By showing their current and potential applications it provides the means by which linguists and others can judge what are the most useful models for the task in hand.
Effective, and easy-to-teach as ever, What’s Up? Second Edition is packed with new features that will increase student involvement and communicative ability. Optional Final tasks based on Web 2.0 applications will spark their creativity and train their critical thinking skills.
