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TKDE
2010
224views more  TKDE 2010»
14 years 10 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
MIR
2005
ACM
129views Multimedia» more  MIR 2005»
15 years 5 months ago
Tracking concept drifting with an online-optimized incremental learning framework
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Jun Wu, Dayong Ding, Xian-Sheng Hua, Bo Zhang
ICMCS
2006
IEEE
121views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Sampling Strategies for Active Learning in Personal Photo Retrieval
With the advent and proliferation of digital cameras and computers, the number of digital photos created and stored by consumers has grown extremely large. This created increasing...
Yi Wu, Igor Kozintsev, Jean-Yves Bouguet, Carole D...
JTAER
2010
147views more  JTAER 2010»
14 years 10 months ago
Privacy Issues for Online Personal Photograph Collections
Technological developments now allow community groups, clubs, and even ordinary individuals to create their own, publicly accessible online digital multi-media collections. Howeve...
Sally Jo Cunningham, Masood Masoodian, Anne Adams
EUROMICRO
2000
IEEE
15 years 4 months ago
Behavioral Specification of a Circuit Using SyncCharts: A Case Study
In this paper we propose a high-level description of the behavior of digital systems. Behaviors are specified with a graphical synchronous model: “SyncCharts”. SyncCharts supp...
Charles André, Marie-Agnès Peraldi-F...