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» Data visualisation and manifold mapping using the ViSOM
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AAAI
2006
14 years 11 months ago
A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking
The ability to accurately detect the location of a mobile node in a sensor network is important for many artificial intelligence (AI) tasks that range from robotics to context-awa...
Jeffrey Junfeng Pan, Qiang Yang, Hong Chang, Dit-Y...
ICML
2008
IEEE
15 years 10 months ago
Manifold alignment using Procrustes analysis
In this paper we introduce a novel approach to manifold alignment, based on Procrustes analysis. Our approach differs from "semisupervised alignment" in that it results ...
Chang Wang, Sridhar Mahadevan
AUIC
2006
IEEE
15 years 3 months ago
Virtual planning rooms (ViPR): a 3D visualisation environment for hierarchical information
The Future Operations Centre Analysis Laboratory (FOCAL) at Australia’s Defence Science and Technology Organisation (DSTO) is aimed at exploring new paradigms for situation awar...
Michael Broughton
AMDO
2006
Springer
15 years 1 months ago
Human Motion Synthesis by Motion Manifold Learning and Motion Primitive Segmentation
Abstract. We propose motion manifold learning and motion primitive segmentation framework for human motion synthesis from motion-captured data. High dimensional motion capture date...
Chan-Su Lee, Ahmed M. Elgammal
NPL
2000
95views more  NPL 2000»
14 years 9 months ago
Bayesian Sampling and Ensemble Learning in Generative Topographic Mapping
Generative topographic mapping (GTM) is a statistical model to extract a hidden smooth manifold from data, like the self-organizing map (SOM). Although a deterministic search algo...
Akio Utsugi