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ICCV
2011
IEEE
14 years 6 months ago
Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
Matthew D. Zeiler, Graham W. Taylor, Rob Fergus
ICIP
1999
IEEE
16 years 8 months ago
Rate-Distortion-Efficient Video Compression Using a 3-D Head Model
In this paper we combine model-based video synthesis with block-based motion-compensated prediction (MCP). Two frames are utilized far prediction where one frame is the previous d...
Peter Eisert, Thomas Wiegand, Bernd Girod
MICCAI
1998
Springer
15 years 10 months ago
Vascular Shape Segmentation and Structure Extraction Using a Shape-Based Region-Growing Model
A new, practical, and efficient approach is proposed for 3D vascular segmentation and bifurcation structure extraction. The method uses a combination of mathematical morphology, re...
Yoshitaka Masutani, Thomas Schiemann, Karl Heinz H...
AICOM
2005
91views more  AICOM 2005»
15 years 6 months ago
Multiagent systems for cardiac pacing simulation and control
Abstract. Simulating and controlling physiological phenomena are complex tasks to tackle. This is due to the fact that physiological processes are usually described by a set of par...
Francesco Amigoni, Alessandro Beda, Nicola Gatti
TCBB
2008
137views more  TCBB 2008»
15 years 6 months ago
Toward Verified Biological Models
The last several decades have witnessed a vast accumulation of biological data and data analysis. Many of these data sets represent only a small fraction of the system's behav...
Avital Sadot, Jasmin Fisher, Dan Barak, Yishai Adm...