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» Set cover algorithms for very large datasets
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KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 6 months ago
Searching and mining trillions of time series subsequences under dynamic time warping
Most time series data mining algorithms use similarity search as a core subroutine, and thus the time taken for similarity search is the bottleneck for virtually all time series d...
Thanawin Rakthanmanon, Bilson J. L. Campana, Abdul...
VIIP
2001
15 years 5 months ago
3-D Haar Wavelet Transformation and Texture-based 3-D Reconstruction of Biomedical Data Sets
Enhanced biomedical image scanning technology and growing network accessibility have created a need for faster and more efficient data exchange over the Internet and in closed net...
Pujita Pinnamaneni, Sagar Saladi, Joerg Meyer
SIGMOD
2008
ACM
191views Database» more  SIGMOD 2008»
16 years 4 months ago
Efficient aggregation for graph summarization
Graphs are widely used to model real world objects and their relationships, and large graph datasets are common in many application domains. To understand the underlying character...
Yuanyuan Tian, Richard A. Hankins, Jignesh M. Pate...
BMCBI
2008
171views more  BMCBI 2008»
15 years 4 months ago
A general approach to simultaneous model fitting and variable elimination in response models for biological data with many more
Background: With the advent of high throughput biotechnology data acquisition platforms such as micro arrays, SNP chips and mass spectrometers, data sets with many more variables ...
Harri T. Kiiveri

Publication
286views
15 years 5 months ago
 Stereo analysis of low textured regions with application towards sea-ice reconstruction
Images with large areas of low texture pose significant challenge to stereo algorithms. We propose a novel segmentation based stereo scheme tuned to handle such scenes. We combine ...
Rohith MV, Gowri Somanath, Chandra Kambhamettu, Ca...