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» Intrinsic Geometries in Learning
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ICASSP
2009
IEEE
13 years 6 months ago
Differential feedback of MIMO channel correlation matrices based on geodesic curves
This paper proposes a differential quantization strategy to be used in the feedback link of a multi-input-multi-output (MIMO) communication system. This algorithm is applied to th...
Daniel Sacristán-Murga, Antonio Pascual-Ise...
MC
2008
146views Computer Science» more  MC 2008»
13 years 10 months ago
Paper-Centric Interaction Concepts for Collaborative Learning
Field studies show that in many learning settings paper has intrinsic advantages over electronic documents. In this paper we present concepts for the collaborative annotation and ...
Jürgen Steimle, Oliver Brdiczka
NIPS
2003
13 years 10 months ago
Gaussian Processes in Reinforcement Learning
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
Carl Edward Rasmussen, Malte Kuss
PAMI
2006
127views more  PAMI 2006»
13 years 8 months ago
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
Martin H. C. Law, Anil K. Jain

Publication
350views
14 years 8 months ago
Probabilistic Parameter Selection for Learning Scene Structure from Video
We present an online learning approach for robustly combining unreliable observations from a pedestrian detector to estimate the rough 3D scene geometry from video sequences of a...
Michael D. Breitenstein, Eric Sommerlade, Bastian ...