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» Approaching the Physical Limits of Computing
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ESSMAC
2003
Springer
16 years 14 days ago
Filtered Gaussian Processes for Learning with Large Data-Sets
Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
Jian Qing Shi, Roderick Murray-Smith, D. M. Titter...
ECCV
2010
Springer
16 years 13 days ago
Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer
Abstract. We study the problem of multimodal dimensionality reduction assuming that data samples can be missing at training time, and not all data modalities may be present at appl...
DAC
1996
ACM
15 years 11 months ago
Early Power Exploration - A World Wide Web Application
Abstract: Exploration at the earliest stages of the design process is an integral component of effective low-power design. Nevertheless, superficial high-level analyses with insuff...
David Lidsky, Jan M. Rabaey
HRI
2007
ACM
15 years 11 months ago
Humanoid robots as a passive-social medium: a field experiment at a train station
This paper reports a method that uses humanoid robots as a communication medium. There are many interactive robots under development, but due to their limited perception, their in...
Kotaro Hayashi, Daisuke Sakamoto, Takayuki Kanda, ...
ECCV
2010
Springer
15 years 8 months ago
Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning
Abstract. We study the problem of multimodal dimensionality reduction assuming that data samples can be missing at training time, and not all data modalities may be present at appl...
Christoph H. Lampert, Oliver Krömer