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NIPS
2001
15 years 6 months ago
Unsupervised Learning of Human Motion Models
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
Yang Song, Luis Goncalves, Pietro Perona
HUC
2010
Springer
15 years 4 months ago
Bayesian recognition of motion related activities with inertial sensors
This work presents the design and evaluation of an activity recognition system for seven important motion related activities. The only sensor used is an Inertial Measurement Unit ...
Korbinian Frank, Maria Josefa Vera Nadales, Patric...
CLOUDCOM
2010
Springer
15 years 2 months ago
An Interface Design for Future Cloud-Based Visualization Services
The pervasive concept of cloud computing suggests that visualization, which is both data and computing intensive, is a perfect cloud computing application. This paper presents a s...
Yuzuru Tanahashi, Cheng-Kai Chen, Stephane Marches...
VISUALIZATION
1997
IEEE
15 years 8 months ago
Extracting feature lines from 3D unstructured grids
This paper discusses techniques for extracting feature lines from three-dimensional unstructured grids. Our twin objectives are to facilitate the interactive manipulation of these...
Kwan-Liu Ma, Victoria Interrante
IEAAIE
2005
Springer
15 years 10 months ago
Analyzing Multi-level Spatial Association Rules Through a Graph-Based Visualization
Association rules discovery is a fundamental task in spatial data mining where data are naturally described at multiple levels of granularity. ARES is a spatial data mining system ...
Annalisa Appice, Paolo Buono