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ACL
2009
15 years 1 months ago
Improving Automatic Speech Recognition for Lectures through Transformation-based Rules Learned from Minimal Data
We demonstrate that transformation-based learning can be used to correct noisy speech recognition transcripts in the lecture domain with an average word error rate reduction of 12...
Cosmin Munteanu, Gerald Penn, Xiaodan Zhu
CRV
2009
IEEE
150views Robotics» more  CRV 2009»
15 years 7 months ago
Efficient Online Egomotion Estimation Using Visual and Inertial Readings
An egomotion estimator that makes use of the complementary strengths of inertial and visual readings is introduced in the context of efficient and robust realtime motion estimatio...
Raphael Mannadiar
CONCUR
1999
Springer
15 years 7 months ago
Robust Satisfaction
In order to check whether an open system satisfies a desired property, we need to check the behavior of the system with respect to an arbitrary environment. In the most general se...
Orna Kupferman, Moshe Y. Vardi
ICVGIP
2004
15 years 4 months ago
A Robust Nonparametric Estimation Framework for Implicit Image Models
Robust model fitting is important for computer vision tasks due to the occurrence of multiple model instances, and, unknown nature of noise. The linear errors-in-variables (EIV) m...
Himanshu Arora, Maneesh Singh, Narendra Ahuja
ATMOS
2007
114views Optimization» more  ATMOS 2007»
15 years 4 months ago
Fast Approaches to Robust Railway Timetabling
The Train Timetabling Problem (TTP) consists in finding a train schedule on a railway network that satisfies some operational constraints and maximizes a profit function which c...
Matteo Fischetti, Arrigo Zanette, Domenico Salvagn...