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» Sparse orthonormal transforms for image compression
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ICDE
2002
IEEE
162views Database» more  ICDE 2002»
13 years 11 months ago
Similarity Search Over Time-Series Data Using Wavelets
We consider the use of wavelet transformations as a dimensionality reduction technique to permit efficient similarity search over high-dimensional time-series data. While numerou...
Ivan Popivanov, Renée J. Miller
ICASSP
2011
IEEE
12 years 10 months ago
Using the kernel trick in compressive sensing: Accurate signal recovery from fewer measurements
Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...
Hanchao Qi, Shannon Hughes
ICIP
2006
IEEE
14 years 8 months ago
Low-Rate Reduced Complexity Image Compression using Directionlets
The standard separable two-dimensional (2-D) wavelet transform (WT) has recently achieved a great success in image processing because it provides a sparse representation of smooth...
Vladan Velisavljevic, Baltasar Beferull-Lozano, Ma...
ICASSP
2009
IEEE
14 years 1 months ago
Joint reconstruction of compressed multi-view images
This paper proposes a distributed representation algorithm for multi-view images that are jointly reconstructed at the decoder. Compressed versions of each image are first obtain...
Xu Chen, Pascal Frossard
SODA
2012
ACM
209views Algorithms» more  SODA 2012»
11 years 8 months ago
Simple and practical algorithm for sparse Fourier transform
We consider the sparse Fourier transform problem: given a complex vector x of length n, and a parameter k, estimate the k largest (in magnitude) coefficients of the Fourier transf...
Haitham Hassanieh, Piotr Indyk, Dina Katabi, Eric ...