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» Mobile learning: A framework and evaluation
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BMCBI
2008
149views more  BMCBI 2008»
15 years 5 months ago
Accelerating the annotation of sparse named entities by dynamic sentence selection
This paper presents an active learning-like framework for reducing the human effort for making named entity annotations in a corpus. In this framework, the annotation work is perf...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
KESAMSTA
2009
Springer
15 years 10 months ago
Structural Changes in an Email-Based Social Network
ent Artificial Immune Systems (MAAIS) for Intrusion Detection: Abstraction from Danger Theory Chung-Ming Ou, C.R. Ou Ants-like Agents: a Model and Analysis Based on Natural Ants Be...
Krzysztof Juszczyszyn, Katarzyna Musial
IJCV
2000
164views more  IJCV 2000»
15 years 5 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann
INFOCOM
2009
IEEE
16 years 15 hour ago
Tracking with Unreliable Node Sequences
—Tracking mobile targets using sensor networks is a challenging task because of the impacts of in-the-filed factors such as environment noise, sensing irregularity and etc. This...
Ziguo Zhong, Ting Zhu, Dan Wang, Tian He
DAIS
2007
15 years 6 months ago
Scalable Processing of Context Information with COSMOS
Abstract. Ubiquitous computing environments are characterised by a high number of heterogenous devices that generate a huge amount of context data. These data are used, for example...
Denis Conan, Romain Rouvoy, Lionel Seinturier