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» Document Retrieval using a Probabilistic Knowledge Model
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DAS
2008
Springer
14 years 11 months ago
Symbol Descriptor Based on Shape Context and Vector Model of Information Retrieval
In this paper we present an adaptive method for graphic symbol representation based on shape contexts. The proposed descriptor is invariant under classical geometric transforms (r...
T.-O. Nguyen, Salvatore Tabbone, Oriol Ramos Terra...
CIKM
2001
Springer
15 years 2 months ago
Merging Techniques for Performing Data Fusion on the Web
Data fusion on the Web refers to the merging, into a unified single list, of the ranked document lists, which are retrieved in response to a user query by more than one Web search...
Theodora Tsikrika, Mounia Lalmas
WWW
2007
ACM
15 years 10 months ago
Altering document term vectors for classification: ontologies as expectations of co-occurrence
In this paper we extend the state-of-the-art in utilizing background knowledge for supervised classification by exploiting the semantic relationships between terms explicated in O...
Meenakshi Nagarajan, Amit P. Sheth, Marcos Kawazoe...
ICAIL
2005
ACM
15 years 3 months ago
Effective Document Clustering for Large Heterogeneous Law Firm Collections
Computational resources for research in legal environments have historically implied remote access to large databases of legal documents such as case law, statutes, law reviews an...
Jack G. Conrad, Khalid Al-Kofahi, Ying Zhao, Georg...
ICML
2006
IEEE
15 years 10 months ago
The rate adapting poisson model for information retrieval and object recognition
Probabilistic modelling of text data in the bagof-words representation has been dominated by directed graphical models such as pLSI, LDA, NMF, and discrete PCA. Recently, state of...
Peter V. Gehler, Alex Holub, Max Welling