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CVPR
2008
IEEE
16 years 3 months ago
Semantic texton forests for image categorization and segmentation
We propose semantic texton forests, efficient and powerful new low-level features. These are ensembles of decision trees that act directly on image pixels, and therefore do not ne...
Jamie Shotton, Matthew Johnson, Roberto Cipolla
ECCV
2008
Springer
16 years 3 months ago
Sparse Long-Range Random Field and Its Application to Image Denoising
Many recent techniques for low-level vision problems such as image denoising are formulated in terms of Markov random field (MRF) or conditional random field (CRF) models. Nonethel...
Yunpeng Li, Daniel P. Huttenlocher
102
Voted
ECCV
2004
Springer
16 years 3 months ago
Unifying Approaches and Removing Unrealistic Assumptions in Shape from Shading: Mathematics Can Help
This article proposes a solution of the Lambertian Shape From Shading (SFS) problem by designing a new mathematical framework based on the notion of viscosity solutions. The power ...
Emmanuel Prados, Olivier D. Faugeras
97
Voted
DCC
2009
IEEE
16 years 2 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
111
Voted
RECOMB
2006
Springer
16 years 2 months ago
RNA Secondary Structure Prediction Via Energy Density Minimization
Abstract. There is a resurgence of interest in RNA secondary structure prediction problem (a.k.a. the RNA folding problem) due to the discovery of many new families of non-coding R...
Can Alkan, Emre Karakoç, Süleyman Cenk...
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