59 search results - page 10 / 12 » Minerva: Learning to Infer Network Path Properties |
91
Voted
NIPS
2000
14 years 11 months ago
2000
We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
109
Voted
GECCO
2008
Springer
14 years 11 months ago
2008
Springer
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
107
Voted
ECCB
2005
IEEE
15 years 3 months ago
2005
IEEE
Many areas of modern biology are concerned with the management, storage, visualization, comparison, and analysis of networks. For instance, networks are used to model signal trans...
94
Voted
CVPR
2008
IEEE
16 years 8 days ago
2008
IEEE
We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...
97
Voted
IROS
2009
IEEE
15 years 4 months ago
2009
IEEE
— The goal of this paper is to serve as a reference for researchers in robotics and control that are interested in realistic modeling, theoretical analysis and simulation of wire...