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VMV
2008
107views Visualization» more  VMV 2008»
15 years 3 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
131
Voted
NIPS
1998
15 years 3 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»
15 years 8 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
16 years 4 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
16 years 3 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...