There is a home out there for every song you've written, but in order to place those songs and advance your music career you must arm yourself with steadfast determination, unending passion, and the most accurate music business knowledge available. For more than 38 years, Songwriter's Market has provided songwriters and performing artists with the most complete and up-to-date information needed to place songs with music publishers, find record companies and producers, obtain representation with managers, and more. This comprehensive guide gives you the tools and first-hand knowledge you need to launch your songwriting career right now!
In the 2015 edition, you'll also gain access to: A new foreword by hit songwriter and best-selling author Jason Blume New interviews with music publishers, Grammy Award-winning producers, and major music industry leaders Articles about how to create and mix a professional demo at home, how to get the most out of music conferences, and much more Hundreds of songwriting placement opportunities Listings for songwriting organizations, conferences, workshops, retreats, colonies, contests, venues, and grant sources (helpful for indie artists looking to record and tour on their own) *Includes access to the webinar "Song Seeds: How to Jump-start Your Songwriting Process" from author and Berklee College of Music professor Mark Simos.
This book constitutes the outcome of the PROMISE Winter School 2012 and contains 11 invited lectures from the research domains information retrieval and information visualization. A large variety of subjects are covered, including hot topics such as crowdsourcing and social media.
The aim of this book is to explain the process of biomedical imaging, from image acquisition to automated diagnosis. This process consists of three thematic areas. The first is dedicated to the acquisition process and the underlying properties of images from a physics-oriented perspective. The second part addresses the dominant state-of-the-art methodologies behind content extraction and interpretation of medical images. The third section presents an application-based example, which develops solutions to address the particular needs of various diagnoses.
This complete volume is an exceptional tool for radiologists, research scientists, senior undergraduate and graduate students in health sciences and engineering, and university professors. This book offers a unique guide to the entire chain of biomedical imaging, explaining how image formation is done, and how the most appropriate algorithms are used to address demands and diagnoses.
The 33 revised full papers presented were carefully reviewed and selected from 67 submissions. The main aim of this workshop is to help advance the scientific research within the broad field of machine learning in medical imaging. It focuses on major trends and challenges in this area, and it presents work aimed to identify new cutting-edge techniques and their use in medical imaging.
Provides accessible overviews of key themes, debates and controversies from a variety of historical and theoretical vantage points Charts significant changes in cultural geography in the twentieth century as well as the principal approaches that currently animate work in the field A valuable resource not just for geographers but also those working in allied fields who wish to get a clear understanding of the contribution geography is making to cross-disciplinary debates
The workshop shows well the current trends and tendencies in medical computer vision and how the techniques can be used in clinical work and on large data sets. It is organized in the following sections: predicting disease; atlas exploitation and avoidance; machine learning based analyses; advanced methods for image analysis; poster sessions. The 10 full, 5 short, 1 invited papers and one overview paper presented in this volume were carefully reviewed and selected from 22 submissions.
The 14 full papers presented, including one invited paper, a workshop overview and five papers on the VISCERAL Retrieval Benchmark, were carefully reviewed and selected from 18 submissions. The papers focus on the following topics: importance of data other than text for information retrieval; semantic data analysis; scalability approaches towards big data sets.
The authors begin by describing what patterns are and how they can help you design object-oriented software. They then go on to systematically name, explain, evaluate, and catalog recurring designs in object-oriented systems. With Design Patterns as your guide, you will learn how these important patterns fit into the software development process, and how you can leverage them to solve your own design problems most efficiently.
Each pattern describes the circumstances in which it is applicable, when it can be applied in view of other design constraints, and the consequences and trade-offs of using the pattern within a larger design. All patterns are compiled from real systems and are based on real-world examples. Each pattern also includes code that demonstrates how it may be implemented in object-oriented programming languages like C++ or Smalltalk.