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ESANN
2006
15 years 8 months ago
Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images
Spectral classification, segmentation and data reduction are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation approach which ...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...
AAAI
2010
15 years 4 months ago
Non-I.I.D. Multi-Instance Dimensionality Reduction by Learning a Maximum Bag Margin Subspace
Multi-instance learning, as other machine learning tasks, also suffers from the curse of dimensionality. Although dimensionality reduction methods have been investigated for many ...
Wei Ping, Ye Xu, Kexin Ren, Chi-Hung Chi, Shen Fur...
MICCAI
2010
Springer
15 years 4 months ago
Value-Based Noise Reduction for Low-Dose Dual-Energy Computed Tomography
Abstract. We introduce a value-based noise reduction method for DualEnergy CT applications. It is based on joint intensity statistics estimated from high- and low-energy CT scans o...
Michael Balda, Björn Heismann, Joachim Horneg...
ICASSP
2011
IEEE
14 years 10 months ago
A flexible Speech Distortion Weighted Multi-channel Wiener Filter for noise reduction in hearing aids
In this paper, a multi-channel noise reduction algorithm is presented based on a Speech Distortion Weighted Multi-channel Wiener Filter (SDW-MWF) approach that incorporates a fle...
Kim Ngo, Marc Moonen, Søren Holdt Jensen, J...
CODES
2009
IEEE
15 years 7 months ago
Efficient dynamic voltage/frequency scaling through algorithmic loop transformation
We present a novel loop transformation technique, particularly well suited for optimizing embedded compilers, where an increase in compilation time is acceptable in exchange for s...
Mohammad Ali Ghodrat, Tony Givargis