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CORR
2010
Springer
141views Education» more  CORR 2010»
15 years 2 months ago
Learning Functions of Few Arbitrary Linear Parameters in High Dimensions
Let us assume that f is a continuous function defined on the unit ball of Rd , of the form f(x) = g(Ax), where A is a k×d matrix and g is a function of k variables for k ≪ d. ...
Massimo Fornasier, Karin Schnass, Jan Vybír...
SIAMIS
2011
14 years 11 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
ACCV
2006
Springer
15 years 10 months ago
Inverse Volume Rendering Approach to 3D Reconstruction from Multiple Images
This paper presents a method of image-based 3D modeling for intricately-shaped objects, such as a fur, tree leaves and human hair. We formulate the imaging process of these small g...
Shuntaro Yamazaki, Masaaki Mochimaru, Takeo Kanade
MCS
2010
Springer
15 years 5 months ago
Multiple Classifier Systems under Attack
Abstract. In adversarial classification tasks like spam filtering, intrusion detection in computer networks and biometric authentication, a pattern recognition system must not only...
Battista Biggio, Giorgio Fumera, Fabio Roli
ICASSP
2010
IEEE
15 years 4 months ago
Multiple frequency-hopping signal estimation via sparse regression
Frequency hopping (FH) signals have well-documented merits for commercial and military applications due to their near-far resistance and robustness to jamming. Estimating FH signa...
Daniele Angelosante, Georgios B. Giannakis, Nichol...