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144
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CVPR
2008
IEEE
16 years 5 months ago
An efficient algorithm for compressed MR imaging using total variation and wavelets
Compressed sensing, an emerging multidisciplinary field involving mathematics, probability, optimization, and signal processing, focuses on reconstructing an unknown signal from a...
Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty
163
Voted
TIP
2010
255views more  TIP 2010»
14 years 10 months ago
Image Super-Resolution Via Sparse Representation
This paper presents a new approach to single-image superresolution, based on sparse signal representation. Research on image statistics suggests that image patches can be wellrepre...
Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma
246
Voted
SENSYS
2010
ACM
15 years 1 months ago
SensLoc: sensing everyday places and paths using less energy
Continuously understanding a user's location context in colloquial terms and the paths that connect the locations unlocks many opportunities for emerging applications. While ...
Donnie H. Kim, Younghun Kim, Deborah Estrin, Mani ...
132
Voted
CORR
2010
Springer
164views Education» more  CORR 2010»
15 years 3 months ago
Sub-Nyquist Sampling of Short Pulses: Part I
We develop sub-Nyquist sampling systems for analog signals comprised of several, possibly overlapping, finite duration pulses with unknown shapes and time positions. Efficient sam...
Ewa Matusiak, Yonina C. Eldar
174
Voted
CVPR
2011
IEEE
14 years 11 months ago
Online Detection of Unusual Events in Videos via Dynamic Sparse Coding
Real-time unusual event detection in video stream has been a difficult challenge due to the lack of sufficient training information, volatility of the definitions for both norm...
Bin Zhao, Li Fei-Fei, Eric Xing