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MIR
2005
ACM
129views Multimedia» more  MIR 2005»
15 years 12 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
AVSS
2006
IEEE
16 years 12 days ago
Learning Foveal Sensing Strategies in Unconstrained Surveillance Environments
In this paper we report on techniques for automatically learning foveal sensing strategies for an active pan-tiltzoom camera. The approach uses reinforcement learning to discover ...
Andrew D. Bagdanov, Alberto Del Bimbo, Walter Nunz...
BMCBI
2008
163views more  BMCBI 2008»
15 years 6 months ago
i-SEGOPubmed: a web interface for semantic enabled browsing of PubMed using Gene Ontology
imately 20 million abstracts. Browsing such a huge repository to find relevant information as well as providing elearning service requires new generation of interfaces. Methods suc...
Mohammed Yeasin, Bhanu Vanteru, Jahangheer S. Shai...
ICIP
2006
IEEE
16 years 8 months ago
Automatic Hot Spot Detection and Segmentation in Whole Body FDG-PET Images
We present a system for automatic hot spots detection and segmentation in whole body FDG-PET images. The main contribution of our system is threefold. First, it has a novel body-s...
Haiying Guan, Toshiro Kubota, Xiaolei Huang, Xiang...
MM
2009
ACM
125views Multimedia» more  MM 2009»
16 years 25 days ago
Unfolding speaker clustering potential: a biomimetic approach
Speaker clustering is the task of grouping a set of speech utterances into speaker-specific classes. The basic techniques for solving this task are similar to those used for spea...
Thilo Stadelmann, Bernd Freisleben