Sciweavers

47 search results - page 4 / 10
» A Framework for Tubular Organs Segmentation
Sort
View
ICASSP
2009
IEEE
13 years 11 months ago
Learning to maximize signal-to-noise ratio for reverberant speech segregation
Monaural speech segregation in reverberant environments is a very difficult problem. We develop a supervised learning approach by proposing an objective function that directly rel...
Zhaozhang Jin, DeLiang Wang
MICCAI
2008
Springer
14 years 8 months ago
Markov Dependence Tree-Based Segmentation of Deep Brain Structures
We propose a new framework for multi-object segmentation of deep brain structures, which have significant shape variations and relatively small sizes in medical brain images. In th...
Jue Wu, Albert C. S. Chung
MICCAI
2009
Springer
14 years 1 days ago
A Dynamical Shape Prior for LV Segmentation from RT3D Echocardiography
Real-time three-dimensional (RT3D) echocardiography is the newest generation of three-dimensional (3-D) echocardiography. Segmentation of RT3D echocardiographic images is essential...
Yun Zhu, Xenophon Papademetris, Albert J. Sinusas,...
ECCV
2004
Springer
14 years 9 months ago
Stereo Using Monocular Cues within the Tensor Voting Framework
We address the fundamental problem of matching in two static images. The remaining challenges are related to occlusion and lack of texture. Our approach addresses these difficultie...
Philippos Mordohai, Gérard G. Medioni
ICMCS
2007
IEEE
144views Multimedia» more  ICMCS 2007»
14 years 1 months ago
A Framework for Modular Signal Processing Systems with High-Performance Requirements
This paper introduces the software framework MMER Lab which allows an effective assembly of modular signal processing systems optimized for memory efficiency and performance. Our...
Lukas Diduch, Ronald Müller, Gerhard Rigoll