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IROS
2008
IEEE
100views Robotics» more  IROS 2008»
14 years 2 months ago
Overcoming sensor noise for low-tolerance autonomous assembly
Abstract— The capability to assemble structures is fundamental to the use of robotics in precursor missions in orbit and on planetary surfaces. We have performed autonomous assem...
Brennan Sellner, Frederik W. Heger, Laura M. Hiatt...
ICASSP
2011
IEEE
12 years 11 months ago
Denoising sparse noise via online dictionary learning
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
Anoop Cherian, Suvrit Sra, Nikolaos Papanikolopoul...
MICCAI
2006
Springer
14 years 8 months ago
Rician Noise Removal in Diffusion Tensor MRI
Rician noise introduces a bias into MRI measurements that can have a significant impact on the shapes and orientations of tensors in diffusion tensor magnetic resonance images. Thi...
Saurav Basu, P. Thomas Fletcher, Ross T. Whitaker
CVPR
2010
IEEE
14 years 4 months ago
Noise-Optimal Capture for High Dynamic Range Photography
Taking multiple exposures is a well-established approach both for capturing high dynamic range (HDR) scenes and for noise reduction. But what is the optimal set of photos to captur...
Samuel W. Hasinoff, Frédo Durand, and William T. ...
NIPS
2008
13 years 9 months ago
Linear Classification and Selective Sampling Under Low Noise Conditions
We provide a new analysis of an efficient margin-based algorithm for selective sampling in classification problems. Using the so-called Tsybakov low noise condition to parametrize...
Giovanni Cavallanti, Nicolò Cesa-Bianchi, C...