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ICTAC
2010
Springer
15 years 3 months ago
Formal Modelling of Separation Kernel Components
Abstract. Separation kernels are key components in embedded applications. Their small size and widespread use in high-integrity environments make them good targets for formal model...
Andrius Velykis, Leo Freitas
SDM
2007
SIAM
182views Data Mining» more  SDM 2007»
15 years 6 months ago
Distance Preserving Dimension Reduction for Manifold Learning
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Hyunsoo Kim, Haesun Park, Hongyuan Zha
VIS
2006
IEEE
128views Visualization» more  VIS 2006»
16 years 6 months ago
Hierarchy-based 3-D Visualization of Homologous Gene Expression across Different Organisms
With the explosive growth of proteomic and expression data of homologous genes, it becomes necessary to explore new methods to visualize and analyze related gene expression data t...
Li Jin, Karl V. Steiner, Carl J. Schmidt, Keith...
157
Voted
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
15 years 6 months ago
MACH: Fast Randomized Tensor Decompositions
Tensors naturally model many real world processes which generate multi-aspect data. Such processes appear in many different research disciplines, e.g, chemometrics, computer visio...
Charalampos E. Tsourakakis
IPSN
2007
Springer
15 years 11 months ago
Health monitoring of civil infrastructures using wireless sensor networks
A Wireless Sensor Network (WSN) for Structural Health Monitoring (SHM) is designed, implemented, deployed and tested on the 4200ft long main span and the south tower of the Golden...
Sukun Kim, Shamim Pakzad, David E. Culler, James D...