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CPAIOR
2009
Springer
15 years 11 months ago
Learning How to Propagate Using Random Probing
Abstract. In constraint programming there are often many choices regarding the propagation method to be used on the constraints of a problem. However, simple constraint solvers usu...
Efstathios Stamatatos, Kostas Stergiou
ICASSP
2010
IEEE
15 years 4 months ago
A shape-based framework to segmentation of tongue contours from MRI data
DIn this paper 1 , we propose a shape-based variational framework to curve evolution for the segmentation of tongue contours from MRI mid-sagittal images. In particular, we first...
Ting Peng, Erwan Kerrien, Marie-Odile Berger
CVPR
2009
IEEE
16 years 11 months ago
A Streaming Framework for Seamless Building Reconstruction from Large-Scale Aerial LiDAR Data
We present a streaming framework for seamless building reconstruction from huge aerial LiDAR point sets. By storing data as stream files on hard disk and using main memory as only ...
Qian-Yi Zhou (University of Southern California), ...
ICASSP
2009
IEEE
15 years 11 months ago
Using collective information in semi-supervised learning for speech recognition
Training accurate acoustic models typically requires a large amount of transcribed data, which can be expensive to obtain. In this paper, we describe a novel semi-supervised learn...
Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex A...
TIST
2011
136views more  TIST 2011»
14 years 11 months ago
Probabilistic models for concurrent chatting activity recognition
Recognition of chatting activities in social interactions is useful for constructing human social networks. However, the existence of multiple people involved in multiple dialogue...
Jane Yung-jen Hsu, Chia-chun Lian, Wan-rong Jih