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CVPR
1998
IEEE
14 years 9 months ago
Hierarchical Morphable Models
This paper presents a new technique for modelling object classes (such as faces) and matching the model to novel images from the object class. The technique can be used for a vari...
Michael J. Jones, Tomaso Poggio
NIPS
1998
13 years 9 months ago
Learning from Dyadic Data
Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
Thomas Hofmann, Jan Puzicha, Michael I. Jordan
BMCBI
2010
174views more  BMCBI 2010»
13 years 7 months ago
The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based h
Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...
Junbai Wang
ICRA
1994
IEEE
105views Robotics» more  ICRA 1994»
13 years 11 months ago
Harmonic Functions and Collision Probabilities
There is a close relationship between harmonic functions { which have recently been proposed for path planning { and hitting probabilities for random processes. The hitting probab...
Christopher I. Connolly
ICML
2007
IEEE
14 years 8 months ago
Hierarchical maximum entropy density estimation
We study the problem of simultaneously estimating several densities where the datasets are organized into overlapping groups, such as a hierarchy. For this problem, we propose a m...
David M. Blei, Miroslav Dudík, Robert E. Sc...