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NIPS
2008
15 years 5 months ago
The Recurrent Temporal Restricted Boltzmann Machine
The Temporal Restricted Boltzmann Machine (TRBM) is a probabilistic model for sequences that is able to successfully model (i.e., generate nice-looking samples of) several very hi...
Ilya Sutskever, Geoffrey E. Hinton, Graham W. Tayl...
CVPR
2012
IEEE
13 years 6 months ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke
AMDO
2000
Springer
15 years 8 months ago
Matching a Human Walking Sequence with a VRML Synthetic Model
- In this paper we present a specific matching technique based on basic motor patterns between two image sequences taken from different view points and a VRML synthetic human model...
Jose Maria Buades Rubio, Ramon Mas, Francisco J. P...
TSDM
2000
189views Data Mining» more  TSDM 2000»
15 years 8 months ago
Join Indices as a Tool for Spatial Data Mining
The growing production of maps is generating huge volume of data stored in large spatial databases. This huge volume of data exceeds the human analysis capabilities. Spatial data m...
Karine Zeitouni, Laurent Yeh, Marie-Aude Aufaure
ICASSP
2009
IEEE
15 years 11 months ago
Motion-based object segmentation using local background sprites
It is well known that video material with a static background allows easier segmentation than that with a moving background. One approach to segmentation of sequences with a movin...
Andreas Krutz, Alexander Glantz, Thilo Borgmann, M...