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143
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NAACL
2010
15 years 1 months ago
Using Confusion Networks for Speech Summarization
For extractive meeting summarization, previous studies have shown performance degradation when using speech recognition transcripts because of the relatively high speech recogniti...
Shasha Xie, Yang Liu
140
Voted
CVPR
2011
IEEE
14 years 11 months ago
Truncated Message Passing
Training of conditional random fields often takes the form of a double-loop procedure with message-passing inference in the inner loop. This can be very expensive, as the need to...
Justin Domke
290
Voted
INTERSPEECH
2010
14 years 10 months ago
Hierarchical bottle neck features for LVCSR
This paper investigates the combination of different neural network topologies for probabilistic feature extraction. On one hand, a five-layer neural network used in bottle neck f...
Christian Plahl, Ralf Schlüter, Hermann Ney
126
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ICCV
2011
IEEE
14 years 3 months ago
Optimizing Polynomial Solvers for Minimal Geometry Problems
In recent years polynomial solvers based on algebraic geometry techniques, and specifically the action matrix method, have become popular for solving minimal problems in computer...
Oleg Naroditsky, Kostas Daniilidis
AAAI
2011
14 years 3 months ago
Pushing the Power of Stochastic Greedy Ordering Schemes for Inference in Graphical Models
We study iterative randomized greedy algorithms for generating (elimination) orderings with small induced width and state space size - two parameters known to bound the complexity...
Kalev Kask, Andrew Gelfand, Lars Otten, Rina Decht...