CVPR
2011
IEEE
13 years 8 months ago
2011
IEEE
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...
TIP
2008
13 years 11 months ago
2008
Kernel regression is an effective tool for a variety of image processing tasks such as denoising and interpolation [1]. In this paper, we extend the use of kernel regression for de...
DATE
2010
IEEE
14 years 5 months ago
2010
IEEE
— Ubiquitous image processing tasks (such as transform decompositions, filtering and motion estimation) do not currently provide graceful degradation when their clock-cycles budg...
ICML
2005
IEEE
15 years 1 months ago
2005
IEEE
Online feature selection (OFS) provides an efficient way to sort through a large space of features, particularly in a scenario where the feature space is large and features take a...
ICPR
2004
IEEE
15 years 1 months ago
2004
IEEE
Real-time image processing tasks not only require high computing power but also high data bandwidth. Though current processors excel in computing power, memory throughput is still...
ICIP
2004
IEEE
15 years 2 months ago
2004
IEEE
Realtime image processing provides a general framework for robust mediated reality problems. This paper presents a realtime mediated reality system that is built upon realtime ima...
ICIP
2006
IEEE
15 years 2 months ago
2006
IEEE
Image decomposition consists of splitting an image into two or more components. One component is piecewise smooth and models object shapes. Another component consists of the textu...