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» Extractive summarization using a latent variable model
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ICPR
2008
IEEE
16 years 28 days ago
Extraction of shoe-print patterns from impression evidence using Conditional Random Fields
Impression evidence in the form of shoe-prints are commonly found in crime scenes. A critical step in automatic shoe-print identification is extraction of the shoe-print pattern. ...
Sargur N. Srihari, Veshnu Ramakrishnan
ICASSP
2008
IEEE
15 years 6 months ago
Impact of automatic sentence segmentation on meeting summarization
This paper investigates the impact of automatic sentence segmentation on speech summarization using the ICSI meeting corpus. We use a hidden Markov model (HMM) for sentence segmen...
Yang Liu, Shasha Xie
ICML
2007
IEEE
16 years 16 days ago
Linear and nonlinear generative probabilistic class models for shape contours
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
Graham McNeill, Sethu Vijayakumar
NIPS
2007
15 years 1 months ago
Spatial Latent Dirichlet Allocation
In recent years, the language model Latent Dirichlet Allocation (LDA), which clusters co-occurring words into topics, has been widely applied in the computer vision field. Howeve...
Xiaogang Wang, Eric Grimson
ICAIL
2009
ACM
15 years 6 months ago
Query-based opinion summarization for legal blog entries
We present the first report of automatic sentiment summarization in the legal domain. This work is based on processing a set of legal questions with a system consisting of a semi...
Jack G. Conrad, Jochen L. Leidner, Frank Schilder,...