Sciweavers

998 search results - page 37 / 200
» Sparse Image Reconstruction using Sparse Priors
Sort
View
135
Voted
CISS
2010
IEEE
14 years 7 months ago
Compressive sampling for streaming signals with sparse frequency content
Abstract—Compressive sampling (CS) has emerged as significant signal processing framework to acquire and reconstruct sparse signals at rates significantly below the Nyquist rate...
Petros Boufounos, M. Salman Asif
186
Voted
CVPR
2009
IEEE
1599views Computer Vision» more  CVPR 2009»
16 years 11 months ago
Multi-Label Sparse Coding for Automatic Image Annotation
In this paper, we present a multi-label sparse coding framework for feature extraction and classification within the context of automatic image annotation. First, each image is ...
Changhu Wang (University of Science and Technology...
CISS
2010
IEEE
14 years 7 months ago
Average case analysis of sparse recovery from combined fusion frame measurements
—Sparse representations have emerged as a powerful tool in signal and information processing, culminated by the success of new acquisition and processing techniques such as Compr...
Petros Boufounos, Gitta Kutyniok, Holger Rauhut
CVPR
1999
IEEE
16 years 5 months ago
Integrating Shape from Shading and Range Data Using Neural Networks
This paper presents a framework for integrating multiple sensory data, sparse range data and dense depth maps from shape from shading in order to improve the 3D reconstruction of ...
Mostafa G.-H. Mostafa, Sameh M. Yamany, Aly A. Far...
141
Voted
ICASSP
2011
IEEE
14 years 7 months ago
An unsupervised algorithm for hybrid/morphological signal decomposition
The main contribution presented here is an adaptive/unsupervised iterative thresholding algorithm for sparse representation of signals which can be modeled as the sum of two compo...
Matthieu Kowalski, Thomas Rodet