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TIP
2010
131views more  TIP 2010»
14 years 11 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
ACMSE
2007
ACM
15 years 8 months ago
Verifying design modularity, hierarchy, and interaction locality using data clustering techniques
Modularity, hierarchy, and interaction locality are general approaches to reducing the complexity of any large system. A widely used principle in achieving these goals in designin...
Liguo Yu, Srini Ramaswamy
ENGL
2007
180views more  ENGL 2007»
15 years 4 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
142
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TKDE
2010
251views more  TKDE 2010»
15 years 3 months ago
Clustering Uncertain Data Using Voronoi Diagrams and R-Tree Index
—We study the problem of clustering uncertain objects whose locations are described by probability density functions (pdf). We show that the UK-means algorithm, which generalises...
Ben Kao, Sau Dan Lee, Foris K. F. Lee, David Wai-L...
ISSA
2004
15 years 6 months ago
Categorizing Vulnerabilities Using Data Clustering Techniques
Vulnerability scanning is one of the proactive information security technologies in the Internet and network security domain. However, the current vulnerability scanner (VS) produ...
Yun (Lillian) Li