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» Learning Patterns in Noisy Data: The AQ Approach
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ICML
2000
IEEE
16 years 5 months ago
Discovering Homogeneous Regions in Spatial Data through Competition
If all features causing heterogeneity were observed, a mixture of experts approach (Jacobs et al., 1991) is likely to be superior to using a single model. When unobserved or very n...
Slobodan Vucetic, Zoran Obradovic
152
Voted
ICRA
2008
IEEE
208views Robotics» more  ICRA 2008»
15 years 11 months ago
Unsupervised body scheme learning through self-perception
— In this paper, we present an approach allowing a robot to learn a generative model of its own physical body from scratch using self-perception with a single monocular camera. O...
Jürgen Sturm, Christian Plagemann, Wolfram Bu...
IWANN
2005
Springer
15 years 10 months ago
Co-evolutionary Learning in Liquid Architectures
A large class of problems requires real-time processing of complex temporal inputs in real-time. These are difficult tasks for state-of-the-art techniques, since they require captu...
Igal Raichelgauz, Karina Odinaev, Yehoshua Y. Zeev...
CDC
2008
IEEE
120views Control Systems» more  CDC 2008»
15 years 11 months ago
Binary consensus with soft information processing in cooperative networks
Abstract— In this paper we consider reaching binary consensus over a network with AWGN channels. We consider the case where knowledge of the corresponding link qualities is avail...
Yongxiang Ruan, Yasamin Mostofi
174
Voted
UAI
2003
15 years 6 months ago
Learning Generative Models of Similarity Matrices
Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
Rómer Rosales, Brendan J. Frey