77 search results - page 10 / 16 » A Novel STAP Algorithm using Sparse Recovery Technique |
ICIP
2009
IEEE
14 years 11 months ago
2009
IEEE
Compressive Sensing (CS) is a new paradigm in signal acquisition and compression. In compressive sensing, a compressible signal is acquired using much less measurements than the o...
JMLR
2008
13 years 10 months ago
2008
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
CVPR
2011
IEEE
13 years 7 months ago
2011
IEEE
We present a simple, accurate, and flexible method to calibrate intrinsic parameters of a camera together with (possibly significant) lens distortion. This new method can work u...
SAC
2005
ACM
14 years 4 months ago
2005
ACM
Users’ search needs are often represented by words and images are retrieved according to such textual queries. Annotation words assigned to the stored images are most useful to ...
CGF
2007
13 years 10 months ago
2007
We present a novel framework for efficiently computing the indirect illumination in diffuse and moderately glossy scenes using density estimation techniques. Many existing global...