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» Extractive summarization using a latent variable model
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69
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ICASSP
2008
IEEE
15 years 6 months ago
Sparse and shift-invariant feature extraction from non-negative data
In this paper we describe a technique that allows the extraction of multiple local shift-invariant features from analysis of non-negative data of arbitrary dimensionality. Our app...
Paris Smaragdis, Bhiksha Raj, Madhusudana V. S. Sh...
MM
2003
ACM
132views Multimedia» more  MM 2003»
15 years 4 months ago
On image auto-annotation with latent space models
Image auto-annotation, i.e., the association of words to whole images, has attracted considerable attention. In particular, unsupervised, probabilistic latent variable models of t...
Florent Monay, Daniel Gatica-Perez
72
Voted
ISMIR
2004
Springer
99views Music» more  ISMIR 2004»
15 years 5 months ago
A Hybrid Graphical Model for Aligning Polyphonic Audio with Musical Scores
We present a new method for establishing an alignment between a polyphonic musical score and a corresponding sampled audio performance. The method uses a graphical model containin...
Christopher Raphael
KDD
2008
ACM
156views Data Mining» more  KDD 2008»
16 years 2 days ago
Unsupervised deduplication using cross-field dependencies
Recent work in deduplication has shown that collective deduplication of different attribute types can improve performance. But although these techniques cluster the attributes col...
Robert Hall, Charles A. Sutton, Andrew McCallum
98
Voted
ICIP
2006
IEEE
16 years 1 months ago
Content Extraction and Summarization of Instructional Videos
This paper presents a robust approach to extracting and summarizing the textual content of instructional videos for handwritten recognition, indexing and retrieval, and other elea...
Tiecheng Liu, Chekuri Choudary