Compressed sensing or compressive sensing is a new concept in signal processing where
one measures a small number of non-adaptive linear combinations of the signal. These …

In this chapter, we show how the sparse representation framework can be used to develop
robust algorithms for object classification [156],[112],[106]. In particular, we will outline the …

Instead of using a pre-determined dictionary B, as in (5.1), one can directly learn it from the
data [99]. Indeed, it has been observed that learning a dictionary directly from the training …

Abstract Compressive sensing [47],[23] is a new concept in signal processing and
information theory where one measures a small number of non-adaptive linear …

Many imaging modalities have been proposed that make use of the theory of compressive
sensing. In this chapter, we present several sensors designed using CS theory. In particular …

In this chapter, we present an overview of some of the recent works in computer vision and
image understanding that make the use of compressive sampling and sparse …

Compressive sensing has recently emerged and is now a subject of increasing research
and discussion, undergoing significant advances at an incredible pace. The novel theory of …