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ICML
2008
IEEE
16 years 5 months ago
Extracting and composing robust features with denoising autoencoders
Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pi...
IROS
2008
IEEE
92views Robotics» more  IROS 2008»
15 years 11 months ago
Underactuated point stabilization using predictive models with application to marine vehicles
— Point stabilization of an underactuated vehicle is most often accomplished using a periodic time-varying control law, resulting in oscillatory trajectories. We present a two-st...
Matthew Greytak, Franz Hover
ACCV
2007
Springer
15 years 11 months ago
Robust Foreground Extraction Technique Using Gaussian Family Model and Multiple Thresholds
Abstract. We propose a robust method to extract silhouettes of foreground objects from color video sequences. To cope with various changes in the background, the background is mode...
Hansung Kim, Ryuuki Sakamoto, Itaru Kitahara, Tomo...
GECCO
2005
Springer
15 years 10 months ago
Probing for limits to building block mixing with a tunably-difficult problem for genetic programming
This paper describes a tunably-difficult problem for genetic programming (GP) that probes for limits to building block mixing and assembly. The existence of such a problem can be ...
Jason M. Daida, Michael E. Samples, Matthew J. Byo...
ICCV
1999
IEEE
15 years 9 months ago
Flexible Calibration: Minimal Cases for Auto-Calibration
This paper deals with the concept of auto-calibration, i.e. methods to calibrate a camera on-line. In particular, we deal with minimal conditions on the intrinsic parameters neede...
Anders Heyden, Kalle Åström