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» Latent Process Model for Manifold Learning
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WSDM
2009
ACM
140views Data Mining» more  WSDM 2009»
15 years 10 months ago
Effective latent space graph-based re-ranking model with global consistency
Recently the re-ranking algorithms have been quite popular for web search and data mining. However, one of the issues is that those algorithms treat the content and link informati...
Hongbo Deng, Michael R. Lyu, Irwin King
MLMI
2004
Springer
15 years 8 months ago
Shallow Dialogue Processing Using Machine Learning Algorithms (or Not)
This paper presents a shallow dialogue analysis model, aimed at human-human dialogues in the context of staff or business meetings. Four components of the model are defined, and ...
Andrei Popescu-Belis, Alexander Clark, Maria Georg...
118
Voted
ICASSP
2009
IEEE
15 years 10 months ago
Incorporating monolingual corpora into bilingual latent semantic analysis for crosslingual LM adaptation
The major limitation in bilingual latent semantic analysis (bLSA) is the requirement of parallel training corpora. Motivated by semi-supervised learning, we propose a clusterbased...
Yik-Cheung Tam, Tanja Schultz
177
Voted
CVPR
2009
IEEE
1132views Computer Vision» more  CVPR 2009»
16 years 10 months ago
Observable Subspaces for 3D Human Motion Recovery
The articulated body models used to represent human motion typically have many degrees of freedom, usually expressed as joint angles that are highly correlated. T...
Andrea Fossati (EPFL), Mathieu Salzmann (Universit...
ICCV
2005
IEEE
15 years 9 months ago
Priors for People Tracking from Small Training Sets
We advocate the use of Scaled Gaussian Process Latent Variable Models (SGPLVM) to learn prior models of 3D human pose for 3D people tracking. The SGPLVM simultaneously optimizes a...
Raquel Urtasun, David J. Fleet, Aaron Hertzmann, P...