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Azure Media Services v2 (GA) Concepts  This topic gives an overview of the most important Media Services concepts. INTRODUCTION Microsoft Azure Media Services is an extensible cloud-based platform that enables developers to build scalable media management and delivery applications. Media Services is  based on REST APIs that enable you to securely upload, store, encode and package video  or audio content for both on-demand and live streaming delivery to various clients  ( for example, TV, PC, and mobile devices) .  Microsoft's efforts to improve the company's cloud platform, Windows Azure, most definitely do not fly under the radar. Over the past few months the software giant brought Windows Azure Services to Windows Server 2012, introduced a plethora of new features for its cloud platform, updated the Windows Azure SDK for .NET and, recently, announced the general availability of Windows Azure Media Services. Windows Azure Media Services is basically a Media Platform as a Ser

Introduction to support vectors In machine learning, support vector machines (SVMs, also support vector networks) are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis. What are support vectors Support vectors are the data points that lie closest to the decision surface (or hyperplane) • They are the data points most difficult to classify • They have direct bearing on the optimum location of the decision surface • We can show that the optimal hyperplane stems from the function class with the lowest “capacity”= # of independent features/parameters Theoretical concept SVMs maximize the margin (Winston terminology: the ‘street’) around the separating hyperplane.  • The decision function is fully specified by a (usually very small) subset of training samples, the support vectors.  • This becomes a Quadratic programming problem that is easy to solve by standard methods Separation by Hyperplanes • Assume linear