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» The Use of Classifiers in Sequential Inference
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MICCAI
2010
Springer
13 years 7 months ago
Incremental Shape Statistics Learning for Prostate Tracking in TRUS
Abstract. Automatic delineation of the prostate boundary in transrectal ultrasound (TRUS) can play a key role in image-guided prostate intervention. However, it is a very challengi...
Pingkun Yan, Jochen Kruecker
INTERSPEECH
2010
13 years 3 months ago
Deep-structured hidden conditional random fields for phonetic recognition
We extend our earlier work on deep-structured conditional random field (DCRF) and develop deep-structured hidden conditional random field (DHCRF). We investigate the use of this n...
Dong Yu, Li Deng
LISA
1998
13 years 10 months ago
A Visual Approach for Monitoring Logs
Analyzing and monitoring logs that portray system, user, and network activity is essential to meet the requirements of high security and optimal resource availability. While most ...
Luc Girardin, Dominique Brodbeck
ICASSP
2011
IEEE
13 years 16 days ago
Online anomaly detection with expert system feedback in social networks
In this paper, we propose examining the participants in various meetings or communications within a social network, and using sequential inference based on these participant lists...
Corinne Horn, Rebecca Willett
POPL
2004
ACM
14 years 2 months ago
Summarizing procedures in concurrent programs
The ability to summarize procedures is fundamental to building scalable interprocedural analyses. For sequential programs, procedure summarization is well-understood and used rout...
Shaz Qadeer, Sriram K. Rajamani, Jakob Rehof