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109
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SIGIR
2006
ACM
15 years 6 months ago
Tensor space model for document analysis
Vector Space Model (VSM) has been at the core of information retrieval for the past decades. VSM considers the documents as vectors in high dimensional space. In such a vector spa...
Deng Cai, Xiaofei He, Jiawei Han
ICPR
2006
IEEE
16 years 1 months ago
Dimensionality Reduction with Adaptive Kernels
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
Shuicheng Yan, Xiaoou Tang
ACL
2010
14 years 10 months ago
Convolution Kernel over Packed Parse Forest
This paper proposes a convolution forest kernel to effectively explore rich structured features embedded in a packed parse forest. As opposed to the convolution tree kernel, the p...
Min Zhang, Hui Zhang, Haizhou Li
105
Voted
CSMR
2006
IEEE
15 years 6 months ago
Can LSI help Reconstructing Requirements Traceability in Design and Test?
Managing traceability data is an important aspect of the software development process. In this paper we investigate to what extent latent semantic indexing (LSI), an information r...
Marco Lormans, Arie van Deursen
109
Voted
IBPRIA
2007
Springer
15 years 4 months ago
Efficiently Downdating, Composing and Splitting Singular Value Decompositions Preserving the Mean Information
Three methods for the efficient downdating, composition and splitting of low rank singular value decompositions are proposed. They are formulated in a closed form, considering the ...
Javier Melenchón, Elisa Martínez