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» Creating Generative Models from Range Images
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TMI
2010
133views more  TMI 2010»
15 years 4 months ago
Synthetic Magnetic Resonance Imaging Revisited
—Synthetic magnetic resonance (MR) imaging is an approach suggested in the literature to predict MR images at different design parameter settings from at least three observed MR ...
Ranjan Maitra, John J. Riddles
ICASSP
2011
IEEE
14 years 10 months ago
Deep belief nets for natural language call-routing
This paper considers application of Deep Belief Nets (DBNs) to natural language call routing. DBNs have been successfully applied to a number of tasks, including image, audio and ...
Ruhi Sarikaya, Geoffrey E. Hinton, Bhuvana Ramabha...
SIBGRAPI
1999
IEEE
15 years 10 months ago
Deterministic Texture Analysis and Synthesis Using Tree Structure Vector Quantization
Texture analysis and synthesis is very important for computer graphics, vision, and image processing. This paper describes an algorithm which can produce new textures with a matchi...
Li-Yi Wei
FGR
2004
IEEE
126views Biometrics» more  FGR 2004»
15 years 10 months ago
Trainable Videorealistic Speech Animation
We describe how to create with machine learning techniques a generative, videorealistic, speech animation module. A human subject is first recorded using a videocamera as he/she u...
Tony Ezzat, Gadi Geiger, Tomaso Poggio
EUROGRAPHICS
2010
Eurographics
16 years 1 months ago
Articulated Billboards for Video-based Rendering
We present a novel representation and rendering method for free-viewpoint video of human characters based on multiple input video streams. The basic idea is to approximate the art...
Marcel Germann, Alexander Hornung, Richard Keiser,...