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» A Method for Dynamic Clustering of Data
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MCS
2007
Springer
15 years 6 months ago
Parallel unstructured mesh generation by an advancing front method
Mesh generation is a critical step in high fidelity computational simulations. High-quality and high-density meshes are required to accurately capture the complex physical phenome...
Yasushi Ito, Alan M. Shih, Anil K. Erukala, Bharat...
TKDE
2011
332views more  TKDE 2011»
15 years 1 months ago
Adaptive Cluster Distance Bounding for High-Dimensional Indexing
—We consider approaches for similarity search in correlated, high-dimensional data-sets, which are derived within a clustering framework. We note that indexing by “vector appro...
Sharadh Ramaswamy, Kenneth Rose
187
Voted
ICPR
2006
IEEE
16 years 7 months ago
Affine Invariant Dynamic Time Warping and its Application to Online Rotated Handwriting Recognition
Dynamic Time Warping (DTW) has been widely used to align and compare two sequences. DTW can efficiently deal with local warp or deformation between sequences. However, it can'...
Yu Qiao, Makoto Yasuhara
ACCESSNETS
2008
Springer
16 years 1 months ago
Greener Copper with Dynamic Spectrum Management
This paper investigates the benefits of Dynamic Spectrum Management (DSM) in terms of reducing the power consumption and improving the data rates in digital-subscriber-line (DSL) ...
John M. Cioffi, Sumanth Jagannathan, Wooyul Lee, H...
PAKDD
2004
ACM
96views Data Mining» more  PAKDD 2004»
16 years 4 days ago
Spectral Energy Minimization for Semi-supervised Learning
The use of unlabeled data to aid classification is important as labeled data is often available in limited quantity. Instead of utilizing training samples directly into semi-super...
Chun Hung Li, Zhi-Li Wu