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LREC
2010
155views Education» more  LREC 2010»
15 years 8 months ago
A Named Entity Labeler for German: Exploiting Wikipedia and Distributional Clusters
Named Entity Recognition is a relatively well-understood NLP task, with many publicly available training resources and software for English. Other languages tend to be underserved...
Grzegorz Chrupala, Dietrich Klakow
ICANN
2010
Springer
15 years 7 months ago
Visualising Clusters in Self-Organising Maps with Minimum Spanning Trees
Abstract. The Self-Organising Map (SOM) is a well-known neuralnetwork model that has successfully been used as a data analysis tool in many different domains. The SOM provides a to...
Rudolf Mayer, Andreas Rauber
182
Voted
ICC
2007
IEEE
16 years 1 months ago
Locating Congested Segments on the Internet by Clustering the Delay Performance of Multiple Paths
— A practical method of locating congested segments on the Internet by periodic end-to-end packet delay measurements along multiple paths is presented. This method is a network t...
Atsuo Tachibana, Shigehiro Ano, Toru Hasegawa, Mas...
CIVR
2005
Springer
123views Image Analysis» more  CIVR 2005»
16 years 8 days ago
Region-Based Image Clustering and Retrieval Using Multiple Instance Learning
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
Chengcui Zhang, Xin Chen
CCGRID
2009
IEEE
15 years 10 months ago
Energy-Efficient Cluster Computing via Accurate Workload Characterization
This paper presents an eco-friendly daemon that reduces power and energy consumption while better maintaining high performance via an accurate workload characterization that infer...
S. Huang, W. Feng