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» Modeling and analysis of content identification
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MM
2004
ACM
124views Multimedia» more  MM 2004»
14 years 2 months ago
An online-optimized incremental learning framework for video semantic classification
This paper considers the problems of feature variation and concept uncertainty in typical learning-based video semantic classification schemes. We proposed a new online semantic c...
Jun Wu, Xian-Sheng Hua, HongJiang Zhang, Bo Zhang
JNW
2008
167views more  JNW 2008»
13 years 9 months ago
Analyzing the ENRON Communication Network Using Agent-Based Simulation
Agent-based modeling, simulation, and network analysis approaches are one of the emergent techniques among soft computing literature. This paper presents an agent-based model for a...
Shinako Matsuyama, Takao Terano
JCDL
2006
ACM
92views Education» more  JCDL 2006»
14 years 3 months ago
Probabilistic, object-oriented logics for annotation-based retrieval in digital libraries
In this paper we introduce POLAR, a probabilistic objectoriented logical framework for annotation-based information retrieval. In POLAR, the knowledge about digital objects, annot...
Ingo Frommholz, Norbert Fuhr
CIKM
2009
Springer
14 years 3 months ago
A query model based on normalized log-likelihood
Leveraging information from relevance assessments has been proposed as an effective means for improving retrieval. We introduce a novel language modeling method which uses inform...
Edgar Meij, Wouter Weerkamp, Maarten de Rijke
CIKM
2011
Springer
12 years 9 months ago
Hybrid models for future event prediction
We present a hybrid method to turn off-the-shelf information retrieval (IR) systems into future event predictors. Given a query, a time series model is trained on the publication...
Giuseppe Amodeo, Roi Blanco, Ulf Brefeld