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SIGIR
2008
ACM
13 years 8 months ago
Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization
Multi-document summarization aims to create a compressed summary while retaining the main characteristics of the original set of documents. Many approaches use statistics and mach...
Dingding Wang, Tao Li, Shenghuo Zhu, Chris H. Q. D...
BMCBI
2005
125views more  BMCBI 2005»
13 years 8 months ago
Query3d: a new method for high-throughput analysis of functional residues in protein structures
Background: The identification of local similarities between two protein structures can provide clues of a common function. Many different methods exist for searching for similar ...
Gabriele Ausiello, Allegra Via, Manuela Helmer-Cit...
SIGIR
2002
ACM
13 years 8 months ago
Document clustering with cluster refinement and model selection capabilities
In this paper, we propose a document clustering method that strives to achieve: (1) a high accuracy of document clustering, and (2) the capability of estimating the number of clus...
Xin Liu, Yihong Gong, Wei Xu, Shenghuo Zhu
CIKM
2010
Springer
13 years 7 months ago
Decomposing background topics from keywords by principal component pursuit
Low-dimensional topic models have been proven very useful for modeling a large corpus of documents that share a relatively small number of topics. Dimensionality reduction tools s...
Kerui Min, Zhengdong Zhang, John Wright, Yi Ma
CIKM
2010
Springer
13 years 7 months ago
Generating advertising keywords from video content
With the proliferation of online distribution methods for videos, content owners require easier and more effective methods for monetization through advertising. Matching advertis...
Michael J. Welch, Junghoo Cho, Walter Chang
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