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» Model Based Importance Analysis for Minimal Cut Sets
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CAINE
2009
13 years 8 months ago
Clustering Customer Transactions: A Rough Set Based Approach
An efficient customer behavior analysis is important for good Recommender System. Customer transaction clustering is usually the first step towards the analysis of customer behavi...
Arunava Saha, Darsana Das, Dipanjan Karmakar, Dili...
CORR
1999
Springer
222views Education» more  CORR 1999»
13 years 10 months ago
Analysis of approximate nearest neighbor searching with clustered point sets
Abstract. Nearest neighbor searching is a fundamental computational problem. A set of n data points is given in real d-dimensional space, and the problem is to preprocess these poi...
Songrit Maneewongvatana, David M. Mount
SIGIR
2002
ACM
13 years 10 months ago
Risk minimization and language modeling in text retrieval dissertation abstract
tion Abstract ChengXiang Zhai (Advisor: John Lafferty) Language Technologies Institute School of Computer Science Carnegie Mellon University With the dramatic increase in online in...
ChengXiang Zhai
ACL
2011
13 years 2 months ago
Semi-supervised latent variable models for sentence-level sentiment analysis
We derive two variants of a semi-supervised model for fine-grained sentiment analysis. Both models leverage abundant natural supervision in the form of review ratings, as well as...
Oscar Täckström, Ryan T. McDonald
ICCV
2003
IEEE
15 years 23 days ago
Automatic Video Summarization by Graph Modeling
We propose a unified approach for summarization based on the analysis of video structures and video highlights. Our approach emphasizes both the content balance and perceptual qua...
Chong-Wah Ngo, Yu-Fei Ma, HongJiang Zhang