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» Evolving natural language grammars without supervision
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CVPR
2007
IEEE
14 years 9 months ago
Unsupervised Activity Perception by Hierarchical Bayesian Models
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
Xiaogang Wang, Xiaoxu Ma, Eric Grimson
SDM
2008
SIAM
134views Data Mining» more  SDM 2008»
13 years 9 months ago
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen...
WWW
2007
ACM
14 years 8 months ago
Organizing and searching the world wide web of facts -- step two: harnessing the wisdom of the crowds
As part of a large effort to acquire large repositories of facts from unstructured text on the Web, a seed-based framework for textual information extraction allows for weakly sup...
Marius Pasca
ISQED
2003
IEEE
85views Hardware» more  ISQED 2003»
14 years 22 days ago
Interoperability Beyond Design: Sharing Knowledge between Design and Manufacturing
The nature of IC design has is necessarily evolving to a more data-centric design flow in which EDA tools share a common information in a design database without the negative cost...
D. R. Cottrell, T. J. Grebinski
AI
2008
Springer
13 years 7 months ago
The well-designed child
This article is inspired by recent psychological studies confirming that a child is not born a blank slate but has important innate capabilities. An important part of the "le...
John McCarthy