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» On compressing frequent patterns
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ICDM
2002
IEEE
114views Data Mining» more  ICDM 2002»
15 years 8 months ago
Online Algorithms for Mining Semi-structured Data Stream
In this paper, we study an online data mining problem from streams of semi-structured data such as XML data. Modeling semi-structured data and patterns as labeled ordered trees, w...
Tatsuya Asai, Hiroki Arimura, Kenji Abe, Shinji Ka...
132
Voted
ASPDAC
2007
ACM
108views Hardware» more  ASPDAC 2007»
15 years 7 months ago
RunBasedReordering: A Novel Approach for Test Data Compression and Scan Power
As the large size of test data volume is becoming one of the major problems in testing System-on-a-Chip (SoC), several compression coding schemes have been proposed. Extended frequ...
Hao Fang, Chenguang Tong, Xu Cheng
118
Voted
ICCD
2004
IEEE
132views Hardware» more  ICCD 2004»
16 years 20 days ago
Compressed Embedded Diagnosis of Logic Cores
This paper introduces a new method for deterministic diagnosis of logic cores. The proposed method is based on onchip decompression and comparison of incompletely specified test ...
Scott Ollivierre, Adam B. Kinsman, Nicola Nicolici
119
Voted
TSP
2010
14 years 10 months ago
LS-CS-residual (LS-CS): compressive sensing on least squares residual
We consider the problem of recursively and causally reconstructing time sequences of sparse signals (with unknown and time-varying sparsity patterns) from a limited number of noisy...
Namrata Vaswani
142
Voted
CORR
2011
Springer
214views Education» more  CORR 2011»
14 years 7 months ago
Convex Approaches to Model Wavelet Sparsity Patterns
Statistical dependencies among wavelet coefficients are commonly represented by graphical models such as hidden Markov trees (HMTs). However, in linear inverse problems such as d...
Nikhil S. Rao, Robert D. Nowak, Stephen J. Wright,...