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ICAPR
2005
Springer
14 years 29 days ago
Fingerprint Image Enhancement Using STFT Analysis
Contrary to popular belief, despite decades of research in fingerprints, reliable fingerprint recognition is an open problem. Extracting features out of poor quality prints is t...
Sharat Chikkerur, Venu Govindaraju, Alexander N. C...
KDD
2012
ACM
238views Data Mining» more  KDD 2012»
11 years 10 months ago
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....
CF
2007
ACM
13 years 11 months ago
Parallel genomic sequence-search on a massively parallel system
In the life sciences, genomic databases for sequence search have been growing exponentially in size. As a result, faster sequencesearch algorithms to search these databases contin...
Oystein Thorsen, Brian E. Smith, Carlos P. Sosa, K...
KDD
2007
ACM
179views Data Mining» more  KDD 2007»
14 years 1 months ago
Mining statistically important equivalence classes and delta-discriminative emerging patterns
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
Jinyan Li, Guimei Liu, Limsoon Wong
KDD
2006
ACM
164views Data Mining» more  KDD 2006»
14 years 7 months ago
Sampling from large graphs
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
Jure Leskovec, Christos Faloutsos