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DAGM
2010
Springer
13 years 11 months ago
Random Fourier Approximations for Skewed Multiplicative Histogram Kernels
Abstract. Approximations based on random Fourier features have recently emerged as an efficient and elegant methodology for designing large-scale kernel machines [4]. By expressing...
Fuxin Li, Catalin Ionescu, Cristian Sminchisescu
TIP
2008
195views more  TIP 2008»
13 years 9 months ago
Image Coding Using Dual-Tree Discrete Wavelet Transform
In this paper, we explore the application of 2-D dual-tree discrete wavelet transform (DDWT), which is a directional and redundant transform, for image coding. Three methods for sp...
Jingyu Yang, Yao Wang, Wenli Xu, Qionghai Dai
TSP
2010
13 years 4 months ago
Coherence-based performance guarantees for estimating a sparse vector under random noise
We consider the problem of estimating a deterministic sparse vector x0 from underdetermined measurements Ax0 +w, where w represents white Gaussian noise and A is a given determinis...
Zvika Ben-Haim, Yonina C. Eldar, Michael Elad
CISS
2011
IEEE
13 years 1 months ago
Noncoherent compressive sensing with application to distributed radar
—We consider a multi-static radar scenario with spatially dislocated receivers that can individually extract delay information only. Furthermore, we assume that the receivers are...
Christian R. Berger, Josee M. F. Moura
FTML
2010
159views more  FTML 2010»
13 years 8 months ago
Dimension Reduction: A Guided Tour
We give a tutorial overview of several geometric methods for dimension reduction. We divide the methods into projective methods and methods that model the manifold on which the da...
Christopher J. C. Burges