Searching for "Latent Semantic Kernels." – sorted by Relevance.
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Latent Semantic Kernels
- . Latent Semantic Kernels Latent Semantic Indexing (LSI) [4] is a technique to incorporate semantic
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Latent Semantic Kernels for Feature Selection
- Latent Semantic Kernels for Feature Selection Nello Cristianini Huma Lodhi John Shawe
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unknown title
- , Latent Semantic Indexing, Latent Semantic Kernels, Gram-Schmidt Kernels, Text Categorization 1
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The Organisation and Retrieval of Document Collections: A Machine Learning Approach
- . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128 8.2 A Latent Variable Models Approach to the Construction of Semantic Kernels
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Learning The Semantics Of Multimedia Content With Application To Web Image Retrieval
- -up methods also have emerged, for example, Latent Semantic Kernel (LSK) [2]. The sparsity of text data
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Learning The Semantics Of Multimedia Content With Application To
- -up methods also have emerged, for example, Latent Semantic Kernel (LSK) [2]. The sparsity of text data
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A web-based kernel function for matching short text snippets
- the work presented here. One of the early approaches in this vein is Latent Semantic Kernels (Cristianini
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Local Semantic Kernels for Text Document Clustering
- . The corresponding kernel is called Latent Semantic Kernel (LSK). The simplest method to compute P , and used
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Information marginalization on subgraphs
- on the Formal Semantics of Pictures Machines 7. Latent Semantic Kernels 7. A Noise-Tolerant Hybrid Model of a
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On the Concentration of Spectral Properties
- as latent semantic indexing, again with kernel dened feature spaces [2]. Furthermore eigenvectors have been
- Cited by 10 (4 self) – Add To MetaCart

