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JMLR
2010
132views more  JMLR 2010»
15 years 1 months ago
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence
The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean...
Qiang Wu, Justin Guinney, Mauro Maggioni, Sayan Mu...
IDA
2010
Springer
15 years 10 months ago
Statistical Modelling for Data from Experiments with Short Hairpin RNAs
This paper delivers an example of applying intelligent data analysis to biological data where the success of the project was only possible due to joint efforts of the experts from ...
Frank Klawonn, Torsten Wüstefeld, Lars Zender
CVPR
2004
IEEE
16 years 8 months ago
A Unified Spatio-Temporal Articulated Model for Tracking
Tracking articulated objects in image sequences remains a challenging problem, particularly in terms of the ability to localize the individual parts of an object given selfocclusi...
Xiangyang Lan, Daniel P. Huttenlocher
VLSID
1999
IEEE
101views VLSI» more  VLSID 1999»
15 years 10 months ago
Formal System Design Based on the Synchrony Hypothesis, Functional Models and Skeletons
Formal approaches to HW and system design have not been generally adopted, because designers often view the modelling concepts in these approaches as unsuitable for their problems...
Ingo Sander, Axel Jantsch
WCNC
2008
IEEE
16 years 25 days ago
Arbutus: Network-Layer Load Balancing for Wireless Sensor Networks
—The hot spot problem is a typical byproduct of the many-to-one traffic pattern that characterizes most wireless sensor networks: the nodes with the best channel to the sink are ...
Daniele Puccinelli, Martin Haenggi