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WWW
2008
ACM
16 years 3 months ago
Computable social patterns from sparse sensor data
We present a computational framework to automatically discover high-order temporal social patterns from very noisy and sparse location data. We introduce the concept of social foo...
Dinh Q. Phung, Brett Adams, Svetha Venkatesh
TNN
2010
143views Management» more  TNN 2010»
14 years 9 months ago
Using unsupervised analysis to constrain generalization bounds for support vector classifiers
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...
CEEMAS
2005
Springer
15 years 8 months ago
On Communication in Solving Distributed Constraint Satisfaction Problems
Abstract. Distributed Constraint Satisfaction Problems (DCSP) is a general framework for multi-agent coordination and conflict resolution. In most DCSP algorithms, inter-agent com...
Hyuckchul Jung, Milind Tambe
VLDB
1995
ACM
121views Database» more  VLDB 1995»
15 years 6 months ago
Benchmarking Spatial Join Operations with Spatial Output
The spatial join operation is benchmarked using variants of well-known spatial data structures such as the R-tree, R-tree, R+-tree, and the PMR quadtree. The focus is on a spatia...
Erik G. Hoel, Hanan Samet
199
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MLMI
2007
Springer
15 years 8 months ago
Gaussian Process Latent Variable Models for Human Pose Estimation
We describe a method for recovering 3D human body pose from silhouettes. Our model is based on learning a latent space using the Gaussian Process Latent Variable Model (GP-LVM) [1]...
Carl Henrik Ek, Philip H. S. Torr, Neil D. Lawrenc...