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JMLR
2010
156views more  JMLR 2010»
13 years 2 months ago
Classification with Incomplete Data Using Dirichlet Process Priors
A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...
Chunping Wang, Xuejun Liao, Lawrence Carin, David ...
ICPR
2002
IEEE
14 years 8 months ago
Regularized Patch Motion Estimation
This paper presents a new formulation of the problem of motion estimation which attempts to give solutions to classical problems in the field, such as detection of motion disconti...
Ioannis Patras, Marcel Worring
COMPGEOM
2004
ACM
14 years 1 months ago
A computational framework for incremental motion
We propose a generic computational framework for maintaining a discrete geometric structure defined by a collection of static and mobile objects. We assume that the mobile object...
David M. Mount, Nathan S. Netanyahu, Christine D. ...
ICIP
2008
IEEE
14 years 2 months ago
Time-sequential extraction of motion layers
A new time-sequential approach for motion layer extraction is presented. We assume that the scene can be described by a set of layers associated to affine motion models. In one o...
Matthieu Fradet, Patrick Pérez, Philippe Ro...
IROS
2007
IEEE
94views Robotics» more  IROS 2007»
14 years 2 months ago
Two-way translation of compound sentences and arm motions by recurrent neural networks
- We present a connectionist model that combines motions and language based on the behavioral experiences of a real robot. Two models of recurrent neural network with parametric bi...
Tetsuya Ogata, Masamitsu Murase, Jun Tani, Kazunor...