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» Document Retrieval using a Probabilistic Knowledge Model
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CIKM
2005
Springer
15 years 3 months ago
Novelty detection based on sentence level patterns
The detection of new information in a document stream is an important component of many potential applications. In this paper, a new novelty detection approach based on the identi...
Xiaoyan Li, W. Bruce Croft
ECML
2001
Springer
15 years 2 months ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciļ...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
WWW
2003
ACM
15 years 10 months ago
A Context-Based Information Agent for Supporting Intelligent Distance Learning Environments
The large amount of information now available on the Web can play a prominent role in building a cooperative intelligent distance learning environment. We propose a system to prov...
Mohammed Abdel Razek, Claude Frasson, Marc Kaltenb...
ICCV
2003
IEEE
15 years 3 months ago
Reinforcement Learning for Combining Relevance Feedback Techniques
Relevance feedback (RF) is an interactive process which refines the retrievals by utilizing user’s feedback history. Most researchers strive to develop new RF techniques and ign...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
CVPR
2004
IEEE
15 years 11 months ago
Multiple Bernoulli Relevance Models for Image and Video Annotation
Retrieving images in response to textual queries requires some knowledge of the semantics of the picture. Here, we show how we can do both automatic image annotation and retrieval...
Shaolei Feng, Raghavan Manmatha, Victor Lavrenko