—Data loss in wireless sensing applications is inevitable and while there have been many attempts at coping with this issue, recent developments in the area of Compressive Sensin...
In this paper, a novel framework for face recognition based on discriminatively trained orthogonal rank-one tensor projections (ORO) and local binary pattern (LBP) is proposed. LB...
To efficiently compress rasterized compound documents, an encoder must be content-adaptive. Content adaptivity may be achieved by using a layered approach. In such an approach, a ...
George Pavlidis, Sofia Tsekeridou, Christodoulos C...
Traditionally, video acquisition, coding and analysis have been designed and optimized as independent tasks. This has a negative impact in terms of consumed resources, as most of ...
M. Cossalter, Giuseppe Valenzise, Marco Tagliasacc...
Nonlinear image reconstruction based upon sparse representations of images has recently received widespread attention with the emerging framework of compressed sensing (CS). This ...
Roummel F. Marcia, Zachary T. Harmany, Rebecca Wil...