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» Input Modeling Using Quantile Statistical Methods
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EMNLP
2009
14 years 10 months ago
Discriminative Corpus Weight Estimation for Machine Translation
Current statistical machine translation (SMT) systems are trained on sentencealigned and word-aligned parallel text collected from various sources. Translation model parameters ar...
Spyros Matsoukas, Antti-Veikko I. Rosti, Bing Zhan...
122
Voted
TMM
2011
160views more  TMM 2011»
14 years 7 months ago
Routing-Aware Multiple Description Video Coding Over Mobile Ad-Hoc Networks
Abstract—Supporting video transmission over error-prone mobile ad-hoc networks is becoming increasingly important as these networks become more widely deployed. We propose a rout...
Yiting Liao, Jerry D. Gibson
113
Voted
TIP
2002
131views more  TIP 2002»
15 years 6 days ago
Optimal edge-based shape detection
Abstract--We propose an approach to accurately detecting twodimensional (2-D) shapes. The cross section of the shape boundary is modeled as a step function. We first derive a one-d...
Hankyu Moon, Rama Chellappa, Azriel Rosenfeld
CIKM
2008
Springer
15 years 2 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
91
Voted
CGF
2007
99views more  CGF 2007»
15 years 17 days ago
Layered Performance Animation with Correlation Maps
Performance has a spontaneity and “aliveness” that can be difficult to capture in more methodical animation processes such as keyframing. Access to performance animation has ...
Michael Neff, Irene Albrecht, Hans-Peter Seidel