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ACL
2010
15 years 3 months ago
Boosting-Based System Combination for Machine Translation
In this paper, we present a simple and effective method to address the issue of how to generate diversified translation systems from a single Statistical Machine Translation (SMT)...
Tong Xiao, Jingbo Zhu, Muhua Zhu, Huizhen Wang
PRL
2011
15 years 9 days ago
Object recognition using proportion-based prior information: Application to fisheries acoustics
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...
Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
151
Voted
CORR
2011
Springer
127views Education» more  CORR 2011»
14 years 9 months ago
Generalized Boosting Algorithms for Convex Optimization
Boosting is a popular way to derive powerful learners from simpler hypothesis classes. Following previous work (Mason et al., 1999; Friedman, 2000) on general boosting frameworks,...
Alexander Grubb, J. Andrew Bagnell
142
Voted
ICASSP
2011
IEEE
14 years 9 months ago
Robust GNSS signal detection in the presence of navigation data bits
This paper considers the problem of weak signal detection in the presence of navigation data bits for Global Navigation Satellite System (GNSS) receivers. Typically, a set of part...
J. Chandrasekhar, Chandra R. Murthy
IDA
2005
Springer
15 years 11 months ago
Condensed Nearest Neighbor Data Domain Description
—A simple yet effective unsupervised classification rule to discriminate between normal and abnormal data is based on accepting test objects whose nearest neighbors’ distances ...
Fabrizio Angiulli