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» Sampling and Reconstruction of Operators
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EMNLP
2010
13 years 5 months ago
Minimum Error Rate Training by Sampling the Translation Lattice
Minimum Error Rate Training is the algorithm for log-linear model parameter training most used in state-of-the-art Statistical Machine Translation systems. In its original formula...
Samidh Chatterjee, Nicola Cancedda
ICRA
2007
IEEE
113views Robotics» more  ICRA 2007»
14 years 2 months ago
Sampling-Based Motion Planning With Sensing Uncertainty
Abstract— Sampling-based algorithms have dramatically improved the state of the art in robotic motion planning. However, they make restrictive assumptions that limit their applic...
Brendan Burns, Oliver Brock
ICGI
2010
Springer
13 years 8 months ago
Inferring Regular Trace Languages from Positive and Negative Samples
In this work, we give an algorithm that infers Regular Trace Languages. Trace languages can be seen as regular languages that are closed under a partial commutation relation called...
Antonio Cano Gómez
CORR
2011
Springer
203views Education» more  CORR 2011»
13 years 2 months ago
Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors
The Compressive Sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by reducing the sampling rate required to acquire and stably recover sparse s...
Laurent Jacques, Jason N. Laska, Petros Boufounos,...
SIGMETRICS
2008
ACM
128views Hardware» more  SIGMETRICS 2008»
13 years 7 months ago
Confident estimation for multistage measurement sampling and aggregation
Measurement, collection, and interpretation of network usage data commonly involves multiple stage of sampling and aggregation. Examples include sampling packets, aggregating them...
Edith Cohen, Nick G. Duffield, Carsten Lund, Mikke...