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NIPS
1997
15 years 5 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
174
Voted
BMCBI
2011
14 years 11 months ago
Tiling array data analysis: a multiscale approach using wavelets
Background: Tiling array data is hard to interpret due to noise. The wavelet transformation is a widely used technique in signal processing for elucidating the true signal from no...
Alexander Karpikov, Joel S. Rozowsky, Mark Gerstei...
IWDW
2009
Springer
15 years 10 months ago
Local Patch Blind Spectral Watermarking Method for 3D Graphics
In this paper, we propose a blind watermarking algorithm for 3D meshes. The proposed algorithm embeds spectral domain constraints in segmented patches. After aligning the 3D object...
Ming Luo, Kai Wang, Adrian G. Bors, Guillaume Lavo...
ICPR
2006
IEEE
15 years 10 months ago
Transformation Invariance in Hand Shape Recognition
In hand shape recognition, transformation invariance is key for successful recognition. We propose a system that is invariant to small scale, translation and shape variations. Thi...
Thomas Coogan, Alistair Sutherland
ISNN
2005
Springer
15 years 9 months ago
Neural Network Based Online Feature Selection for Vehicle Tracking
Abstract. Aiming at vehicle tracking with a single moving camera for autonomous driving, this paper presents a strategy of online feature selection combined with related process fr...
Tie Liu, Nanning Zheng, Hong Cheng