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» Kernels for Semi-Structured Data
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ICIP
2001
IEEE
16 years 2 months ago
Study of embedded font context and kernel space methods for improved videotext recognition
Videotext refers to text superimposed on video frames. A videotext based Multimedia Description Scheme has recently been adopted into the MPEG-7 standard. A study of published wor...
Chitra Dorai, Hrishikesh Aradhye, Jae-Chang Shim
ICSE
2008
IEEE-ACM
16 years 1 months ago
A tale of four kernels
The Freebsd, gnu/Linux, Solaris, and Windows operating systems have kernels that provide comparable facilities. Interestingly, their code bases share almost no common parts, while...
Diomidis Spinellis
ICCD
2007
IEEE
120views Hardware» more  ICCD 2007»
15 years 9 months ago
Statistical timing analysis using Kernel smoothing
We have developed a new statistical timing analysis approach that does not impose any assumptions on the nature of manufacturing variability and takes into account an arbitrary mo...
Jennifer L. Wong, Azadeh Davoodi, Vishal Khandelwa...
ISBRA
2007
Springer
15 years 7 months ago
Discovering Relations Among GO-Annotated Clusters by Graph Kernel Methods
The biological interpretation of large-scale gene expression data is one of the challenges in current bioinformatics. The state-of-theart approach is to perform clustering and then...
Italo Zoppis, Daniele Merico, Marco Antoniotti, Bu...
CSB
2005
IEEE
115views Bioinformatics» more  CSB 2005»
15 years 6 months ago
A New Clustering Strategy with Stochastic Merging and Removing Based on Kernel Functions
With hierarchical clustering methods, divisions or fusions, once made, are irrevocable. As a result, when two elements in a bottom-up algorithm are assigned to one cluster, they c...
Huimin Geng, Hesham H. Ali