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» Computational methods for understanding 3D shapes
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BMCBI
2008
138views more  BMCBI 2008»
14 years 9 months ago
Using neural networks and evolutionary information in decoy discrimination for protein tertiary structure prediction
Background: We present a novel method of protein fold decoy discrimination using machine learning, more specifically using neural networks. Here, decoy discrimination is represent...
Ching-Wai Tan, David T. Jones
100
Voted
MICCAI
2006
Springer
15 years 10 months ago
A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci
This paper presents a learning based method for automatic extraction of the major cortical sulci from MRI volumes or extracted surfaces. Instead of using a few pre-defined rules su...
Songfeng Zheng, Zhuowen Tu, Alan L. Yuille, Allan ...
77
Voted
DIAGRAMS
2006
Springer
14 years 11 months ago
From Diagrams to Models by Analogical Transfer
Abstract. We present a method for constructing a teleological model of a drawing of a physical device through analogical transfer of the teleological model of the same device in an...
Patrick W. Yaner, Ashok K. Goel
103
Voted
ICNC
2010
Springer
14 years 7 months ago
Emotional talking agent: System and evaluation
In this paper, we introduce a system that synthesizes the emotional audio-visual speech for a 3-D talking agent by adopting the PAD (Pleasure-Arousal-Dominance) emotional model. A ...
Shen Zhang, Jia Jia, Yingjin Xu, Lianhong Cai
77
Voted
PG
2002
IEEE
15 years 2 months ago
Example-Based Caricature Generation with Exaggeration
In this paper, we present a system that automatically generates caricatures from input face images. From example caricatures drawn by an artist, our caricature system learns how a...
Lin Liang, Hong Chen, Ying-Qing Xu, Heung-Yeung Sh...