1176 search results - page 96 / 236 » Sparse reward processes |
163
click to vote
CORR
2011
Springer
14 years 11 months ago
2011
Springer
The Compressive Sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by reducing the sampling rate required to acquire and stably recover sparse s...
170
click to vote
TSP
2010
14 years 10 months ago
2010
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
168
click to vote
TSP
2010
14 years 10 months ago
2010
Abstract--In this paper, we investigate various channel estimators that exploit channel sparsity in the time and/or Doppler domain for a multicarrier underwater acoustic system. We...
148
click to vote
ECCV
2006
Springer
16 years 6 months ago
2006
Springer
Abstract. In recent years there has been growing interest in recognition models using local image features for applications ranging from long range motion matching to object class ...
126
click to vote
CVPR
2007
IEEE
15 years 10 months ago
2007
IEEE
In this work we recover the 3D shape of mirroring objects such as mirrors, sunglasses, and stainless steel objects. A computer monitor displays several images of parallel stripes,...