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» Novel Auxiliary Techniques in Clustering
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ENGL
2007
180views more  ENGL 2007»
13 years 7 months ago
Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
Shreyas Sen, Seetharam Narasimhan, Amit Konar
BMCBI
2007
124views more  BMCBI 2007»
13 years 7 months ago
CRISPR Recognition Tool (CRT): a tool for automatic detection of clustered regularly interspaced palindromic repeats
Background: Clustered Regularly Interspaced Palindromic Repeats (CRISPRs) are a novel type of direct repeat found in a wide range of bacteria and archaea. CRISPRs are beginning to...
Charles Bland, Teresa L. Ramsey, Fareedah Sabree, ...
HPCA
1998
IEEE
13 years 12 months ago
The Effectiveness of SRAM Network Caches in Clustered DSMs
The frequency of accesses to remote data is a key factor affecting the performance of all Distributed Shared Memory (DSM) systems. Remote data caching is one of the most effective...
Adrian Moga, Michel Dubois
TIP
2010
131views more  TIP 2010»
13 years 2 months ago
Orientation Modulation for Data Hiding in Clustered-Dot Halftone Prints
We present a new framework for data hiding in images printed with clustered dot halftones. Our application scenario, like other hardcopy embedding methods, encounters fundamental c...
Orhan Bulan, Gaurav Sharma, Vishal Monga
SAC
2010
ACM
13 years 6 months ago
The 'Dresden Image Database' for benchmarking digital image forensics
This paper introduces and documents a novel image database specifically built for the purpose of development and benchmarking of camera-based digital forensic techniques. More th...
Thomas Gloe, Rainer Böhme