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» Projection Penalties: Dimension Reduction without Loss
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IGARSS
2009
13 years 3 months ago
Classification Performance of Random-projection-based Dimensionality Reduction of Hyperspectral Imagery
High-dimensional data such as hyperspectral imagery is traditionally acquired in full dimensionality before being reduced in dimension prior to processing. Conventional dimensiona...
James E. Fowler, Qian Du, Wei Zhu, Nicolas H. Youn...
VLSID
2008
IEEE
111views VLSI» more  VLSID 2008»
14 years 5 months ago
Power Reduction of Functional Units Considering Temperature and Process Variations
Continuous technology scaling has resulted in an increase in both, the power density as well as the variation in device dimensions (process variations) of the manufactured process...
Deepa Kannan, Aviral Shrivastava, Sarvesh Bhardwaj...
ISCAS
2006
IEEE
93views Hardware» more  ISCAS 2006»
13 years 11 months ago
A one-shot projection method for interconnects with process variations
—With the development of IC technology, it becomes urgent to investigate model reduction method for interconnects with process variations. In this paper, a one-shot projection al...
Jun Tao, Xuan Zeng, Fan Yang, Yangfeng Su, Lihong ...
TVLSI
2010
12 years 12 months ago
Exploration of Heterogeneous FPGAs for Mapping Linear Projection Designs
In many applications, a reduction of the amount of the original data or a representation of the original data by a small set of variables is often required. Among many techniques, ...
Christos-Savvas Bouganis, Iosifina Pournara, Peter...
TMI
2008
142views more  TMI 2008»
13 years 5 months ago
Wavelet Based Noise Reduction in CT-Images Using Correlation Analysis
Abstract-- The projection data measured in computed tomography (CT) and, consequently, the slices reconstructed from these data are noisy. We present a new wavelet based structurep...
Anja Borsdorf, Rainer Raupach, Thomas Flohr, Joach...