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JMLR
2010
143views more  JMLR 2010»
15 years 4 months ago
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
Jin Yu, S. V. N. Vishwanathan, Simon Günter, ...
BMVC
2010
15 years 4 months ago
Three-step image rectification
Image stereo-rectification is the process by which two images of the same solid scene undergo homographic transforms, so that their corresponding epipolar lines coincide and becom...
Pascal Monasse, Jean-Michel Morel, Zhongwei Tang
PAMI
2011
15 years 1 months ago
Cost-Sensitive Boosting
—A novel framework is proposed for the design of cost-sensitive boosting algorithms. The framework is based on the identification of two necessary conditions for optimal cost-sen...
Hamed Masnadi-Shirazi, Nuno Vasconcelos
ICCV
2005
IEEE
16 years 8 months ago
A Graph Cut Algorithm for Generalized Image Deconvolution
The goal of deconvolution is to recover an image x from its convolution with a known blurring function. This is equivalent to inverting the linear system y = Hx. In this paper we ...
Ashish Raj, Ramin Zabih
ECCV
2004
Springer
16 years 8 months ago
A l1-Unified Variational Framework for Image Restoration
Among image restoration literature, there are mainly two kinds of approach. One is based on a process over image wavelet coefficients, as wavelet shrinkage for denoising. The other...
Julien Bect, Laure Blanc-Féraud, Gilles Aub...