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NIPS
1997
15 years 4 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
CIKM
2007
Springer
15 years 9 months ago
Latent semantic fusion model for image retrieval and annotation
This paper studies the effect of Latent Semantic Analysis (LSA) on two different tasks: multimedia document retrieval (MDR) and automatic image annotation (AIA). The contributio...
Trong-Ton Pham, Nicolas Maillot, Joo-Hwee Lim, Jea...
CVPR
2000
IEEE
16 years 5 months ago
3-D Model Construction Using Range and Image Data
This paper deals with the automated creation of geometric and photometric correct 3-D models of the world. Those models can be used for virtual reality, tele? presence, digital ci...
Ioannis Stamos, Peter K. Allen
BMEI
2009
IEEE
15 years 4 months ago
A Kurtosis and Skewness Based Criterion for Model Selection on Gaussian Mixture
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
Lin Wang, Jinwen Ma
AFRIGRAPH
2004
ACM
15 years 8 months ago
A local model of eye adaptation for high dynamic range images
In the real world, the human eye is confronted with a wide range of luminances from bright sunshine to low night light. Our eyes cope with this vast range of intensities by adapta...
Patrick Ledda, Luís Paulo Santos, Alan Chal...