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» Finding Approximate Repeating Patterns from Sequence Data
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TCAD
2008
114views more  TCAD 2008»
13 years 7 months ago
Test-Quality/Cost Optimization Using Output-Deviation-Based Reordering of Test Patterns
At-speed functional testing, delay testing, and n-detection test sets are being used today to detect deep submicrometer defects. However, the resulting test data volumes are too hi...
Zhanglei Wang, Krishnendu Chakrabarty
SDM
2011
SIAM
223views Data Mining» more  SDM 2011»
12 years 10 months ago
Characterizing Uncertain Data using Compression
Motivated by sensor networks, mobility data, biology and life sciences, the area of mining uncertain data has recently received a great deal of attention. While various papers hav...
Francesco Bonchi, Matthijs van Leeuwen, Antti Ukko...
ECCV
2002
Springer
14 years 9 months ago
Learning Shape from Defocus
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
Paolo Favaro, Stefano Soatto
BMCBI
2008
130views more  BMCBI 2008»
13 years 8 months ago
Function approximation approach to the inference of reduced NGnet models of genetic networks
Background: The inference of a genetic network is a problem in which mutual interactions among genes are deduced using time-series of gene expression patterns. While a number of m...
Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Hi...
APWEB
2006
Springer
13 years 11 months ago
Efficient Mining Strategy for Frequent Serial Episodes in Temporal Database
Discovering patterns with great significance is an important problem in data mining discipline. A serial episode is defined to be a partially ordered set of events for consecutive ...
Kuo-Yu Huang, Chia-Hui Chang