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SDM
2008
SIAM
150views Data Mining» more  SDM 2008»
15 years 8 months ago
A Stagewise Least Square Loss Function for Classification
This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...
Shuang-Hong Yang, Bao-Gang Hu
EMMCVPR
2011
Springer
14 years 6 months ago
Discrete Optimization of the Multiphase Piecewise Constant Mumford-Shah Functional
Abstract. The Mumford-Shah model has been one of the most powerful models in image segmentation and denoising. The optimization of the multiphase Mumford-Shah energy functional has...
Noha Youssry El-Zehiry, Leo Grady
ARITH
2007
IEEE
16 years 27 days ago
Worst Cases of a Periodic Function for Large Arguments
One considers the problem of finding hard to round cases of a periodic function for large floating-point inputs, more precisely when the function cannot be efficiently approxim...
Guillaume Hanrot, Vincent Lefèvre, Damien S...
EMMCVPR
2005
Springer
16 years 2 days ago
Edge Strength Functions as Shape Priors in Image Segmentation
Many applications of computer vision requires segmenting out of an object of interest from a given image. Motivated by unlevel-sets formulation of Raviv, Kiryati and Sochen [8] and...
Erkut Erdem, Aykut Erdem, Sibel Tari
RT
1995
Springer
15 years 10 months ago
The Role of Functional Analysis in Global Illumination
Abstract: The problem of global illumination is virtually synonymouswith solving the rendering equation. Although a great deal of research has been directed toward Monte Carlo and ...
James Arvo