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VMV
2008
107views Visualization» more  VMV 2008»
13 years 10 months ago
Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
Erik Rodner, Joachim Denzler
NIPS
1998
13 years 10 months ago
Facial Memory Is Kernel Density Estimation (Almost)
We compare the ability of three exemplar-based memory models, each using three different face stimulus representations, to account for the probability a human subject responded &q...
Matthew N. Dailey, Garrison W. Cottrell, Thomas A....
IROS
2007
IEEE
125views Robotics» more  IROS 2007»
14 years 3 months ago
Hybrid localization using the hierarchical atlas
— This paper presents a hybrid localization scheme for a mobile robot using the hierarchical atlas. The hierarchical atlas is a map that consists of a higher level topological gr...
Stephen Tully, Hyungpil Moon, Deryck Morales, Geor...
ICCV
2003
IEEE
14 years 10 months ago
Multiple-cue Illumination Estimation in Textured Scenes
In this paper, we present a method that integrates cues from shading, shadow and specular reflections for estimating directional illumination in a textured scene. Texture poses a ...
Yuanzhen Li, Stephen Lin, Hanqing Lu, Heung-Yeung ...
ICML
2008
IEEE
14 years 9 months ago
Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity
Causal analysis of continuous-valued variables typically uses either autoregressive models or linear Gaussian Bayesian networks with instantaneous effects. Estimation of Gaussian ...
Aapo Hyvärinen, Patrik O. Hoyer, Shohei Shimi...