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NIPS
1997
15 years 8 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
BMCBI
2006
89views more  BMCBI 2006»
15 years 6 months ago
A joint model for nonparametric functional mapping of longitudinal trajectory and time-to-event
Background: The characterization of the relationship between a longitudinal response process and a time-to-event has been a pressing challenge in biostatistical research. This has...
Min Lin, Rongling Wu
RT
2005
Springer
16 years 2 days ago
Experimental Analysis of BRDF Models
The Bidirectional Reflectance Distribution Function (BRDF) describes the appearance of a material by its interaction with light at a surface point. A variety of analytical models...
Addy Ngan, Frédo Durand, Wojciech Matusik
ICRA
2010
IEEE
220views Robotics» more  ICRA 2010»
15 years 5 months ago
Autonomous Underwater Vehicle trajectory design coupled with predictive ocean models: A case study
— Data collection using Autonomous Underwater Vehicles (AUVs) is increasing in importance within the oceanographic research community. Contrary to traditional moored or static pl...
Ryan N. Smith, Arvind Pereira, Yi Chao, Peggy Li, ...
BMCBI
2011
14 years 10 months ago
GPCR-SSFE: A comprehensive database of G-protein-coupled receptor template predictions and homology models
Background: G protein-coupled receptors (GPCRs) transduce a wide variety of extracellular signals to within the cell and therefore have a key role in regulating cell activity and ...
Catherine L. Worth, Annika Kreuchwig, Gunnar Klein...