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» A Hidden Markov Model Information Retrieval System
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ICASSP
2010
IEEE
15 years 4 months ago
Learning deep rhetorical structure for extractive speech summarization
Extractive summarization of conference and lecture speech is useful for online learning and references. We show for the first time that deep(er) rhetorical parsing of conference ...
Justin Jian Zhang, Pascale Fung
281
Voted
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
16 years 5 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
SIGIR
2006
ACM
15 years 10 months ago
Combining fields in known-item email search
Emails are examples of structured documents with various fields. These fields can be exploited to enhance the retrieval effectiveness of an Information Retrieval (IR) system th...
Craig Macdonald, Iadh Ounis
CVPR
1998
IEEE
16 years 6 months ago
Subtly Different Facial Expression Recognition and Expression Intensity Estimation
We have developed a computer vision system, including both facial feature extraction and recognition, that automatically discriminates among subtly different facial expressions. E...
James Jenn-Jier Lien, Takeo Kanade, Jeffrey F. Coh...
116
Voted
ECIR
2009
Springer
16 years 1 months ago
Revisiting N-Gram Based Models for Retrieval in Degraded Large Collections
The traditional retrieval models based on term matching are not effective in collections of degraded documents (output of OCR or ASR systems for instance). This paper presents a n...
Javier Parapar, Ana Freire, Alvaro Barreiro