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ACL
2003
15 years 3 months ago
Unsupervised Learning of Arabic Stemming Using a Parallel Corpus
This paper presents an unsupervised learning approach to building a non-English (Arabic) stemmer. The stemming model is based on statistical machine translation and it uses an Eng...
Monica Rogati, J. Scott McCarley, Yiming Yang
MMNS
2003
100views Multimedia» more  MMNS 2003»
15 years 3 months ago
Unicast Probing to Estimate Shared Loss Rate
Abstract. The paper introduces a new receiver-based active end-toend measurement technique, called the Single-Double Unicast Probing (SDUP), to estimate the rate of losses which oc...
Dinh-Dung Luong, Attila Vidács, Józs...
MMNS
2003
119views Multimedia» more  MMNS 2003»
15 years 3 months ago
A New Available Bandwidth Measurement Technique for Service Overlay Networks
Abstract. We introduce a new measurement algorithm for the available bandwidth in a network path between two endhosts. This algorithm is an adaptation from existing active measurem...
Cao Le Thanh Man, Go Hasegawa, Masayuki Murata
CIDR
2009
155views Algorithms» more  CIDR 2009»
15 years 3 months ago
LifeRaft: Data-Driven, Batch Processing for the Exploration of Scientific Databases
Workloads that comb through vast amounts of data are gaining importance in the sciences. These workloads consist of "needle in a haystack" queries that are long running ...
Xiaodan Wang, Randal C. Burns, Tanu Malik
ICA
2010
Springer
15 years 3 months ago
Blind Source Separation Based on Time-Frequency Sparseness in the Presence of Spatial Aliasing
In this paper, we propose a novel method for blind source separation (BSS) based on time-frequency sparseness (TF) that can estimate the number of sources and time-frequency masks,...
Benedikt Loesch, Bin Yang