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» An in Depth Comparison of Four Texture Segmentation Methods
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ICCV
2001
IEEE
14 years 7 months ago
Image Segmentation by Data Driven Markov Chain Monte Carlo
?This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contribut...
Zhuowen Tu, Song Chun Zhu, Heung-Yeung Shum
ACL
2008
13 years 6 months ago
Joint Processing and Discriminative Training for Letter-to-Phoneme Conversion
We present a discriminative structureprediction model for the letter-to-phoneme task, a crucial step in text-to-speech processing. Our method encompasses three tasks that have bee...
Sittichai Jiampojamarn, Colin Cherry, Grzegorz Kon...
ECCV
2006
Springer
14 years 7 months ago
Specularity Removal in Images and Videos: A PDE Approach
We present a unified framework for separating specular and diffuse reflection components in images and videos of textured scenes. This can be used for specularity removal and for i...
Satya P. Mallick, Todd Zickler, Peter N. Belhumeur...
CVIU
2006
166views more  CVIU 2006»
13 years 5 months ago
Non-parametric and light-field deformable models
Statistical shape-and-texture appearance models use image morphing to define a rich, compact representation of object appearance. They are useful in a variety of applications incl...
Chris Mario Christoudias, Louis-Philippe Morency, ...
APVIS
2009
13 years 6 months ago
Visualization of signal transduction processes in the crowded environment of the cell
In this paper, we propose a stochastic simulation to model and analyze cellular signal transduction. The high number of objects in a simulation requires advanced visualization tec...
Martin Falk, Michael Klann, Matthias Reuss, Thomas...