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» A kernel-based approach to document retrieval
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FOCS
2009
IEEE
14 years 3 months ago
Space-Efficient Framework for Top-k String Retrieval Problems
Given a set D = {d1, d2, ..., dD} of D strings of total length n, our task is to report the "most relevant" strings for a given query pattern P. This involves somewhat mo...
Wing-Kai Hon, Rahul Shah, Jeffrey Scott Vitter
IPM
2007
105views more  IPM 2007»
13 years 11 months ago
Parsimonious translation models for information retrieval
In the KL divergence framework, the extended language modeling approach has a critical problem estimating a query model, which is the probabilistic model that encodes user’s inf...
Seung-Hoon Na, In-Su Kang, Jong-Hyeok Lee
CIKM
2008
Springer
14 years 1 months ago
Modeling hidden topics on document manifold
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai
CIVR
2008
Springer
220views Image Analysis» more  CIVR 2008»
14 years 28 days ago
Web-based information content and its application to concept-based video retrieval
Semantic similarity between words or phrases is frequently used to find matching correlations between search queries and documents when straightforward matching of terms fails. Th...
Alexander Haubold, Apostol Natsev
CIKM
2010
Springer
13 years 9 months ago
Automatically suggesting topics for augmenting text documents
We present a method for automated topic suggestion. Given a plain-text input document, our algorithm produces a ranking of novel topics that could enrich the input document in a m...
Robert West, Doina Precup, Joelle Pineau