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» Kernels for Semi-Structured Data
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ICASSP
2011
IEEE
12 years 11 months ago
Speaker recognition using multiple kernel learning based on conditional entropy minimization
We applied a multiple kernel learning (MKL) method based on information-theoretic optimization to speaker recognition. Most of the kernel methods applied to speaker recognition sy...
Tetsuji Ogawa, Hideitsu Hino, Nima Reyhani, Noboru...
WISE
2002
Springer
14 years 12 days ago
Storing and Maintaining Semistructured Data Efficiently in an Object-Relational Database
We propose to use object-relational database management systems to store and manage semi-structured data. ORA-SS (Object-Relationship-Attribute model for Semi-Structured data) [9]...
Yuanying Mo, Tok Wang Ling
ER
2007
Springer
127views Database» more  ER 2007»
14 years 1 months ago
Update XML Data by Using Graphical Languages
To be a full-featured data exchange format, XML should support not only queries but also updates on its contents. The new W3C XML update facility has proposed a set of operators (...
Wei Ni, Tok Wang Ling
AAAI
2012
11 years 10 months ago
Learning the Kernel Matrix with Low-Rank Multiplicative Shaping
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
Tomer Levinboim, Fei Sha
ER
2003
Springer
84views Database» more  ER 2003»
14 years 22 days ago
Resolving Structural Conflicts in the Integration of XML Schemas: A Semantic Approach
While the Internet has facilitated access to information sources, the task of scalable integration of these heterogeneous data sources remains a challenge. The adoption of the eXte...
Xia Yang, Mong-Li Lee, Tok Wang Ling