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» Comparing Reductions to NP-Complete Sets
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SIAMSC
2008
198views more  SIAMSC 2008»
13 years 7 months ago
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
T. Bui-Thanh, Karen Willcox, Omar Ghattas
MICCAI
2009
Springer
14 years 8 months ago
Tractography-Based Parcellation of the Cortex Using a Spatially-Informed Dimension Reduction of the Connectivity Matrix
Determining cortical functional areas is an important goal for neurosciences and clinical neurosurgery. This paper presents a method for connectivity-based parcellation of the enti...
Cyril Poupon, Denis Rivière, Jean-Francois ...
ICCD
2007
IEEE
99views Hardware» more  ICCD 2007»
13 years 11 months ago
Power reduction of chip multi-processors using shared resource control cooperating with DVFS
This paper presents a novel power reduction method for chip multi-processors (CMPs) under real-time constraints. While the power consumption of processing units (PUs) on CMPs can ...
Ryo Watanabe, Masaaki Kondo, Hiroshi Nakamura, Tak...
CCGRID
2010
IEEE
13 years 8 months ago
High Performance Dimension Reduction and Visualization for Large High-Dimensional Data Analysis
Abstract--Large high dimension datasets are of growing importance in many fields and it is important to be able to visualize them for understanding the results of data mining appro...
Jong Youl Choi, Seung-Hee Bae, Xiaohong Qiu, Geoff...
PAMI
2007
148views more  PAMI 2007»
13 years 6 months ago
Orthogonal Neighborhood Preserving Projections: A Projection-Based Dimensionality Reduction Technique
This paper considers the problem of dimensionality reduction by orthogonal projection techniques. The main feature of the proposed techniques is that they attempt to preserve both...
Effrosini Kokiopoulou, Yousef Saad