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» A Framework for Visual Servoing
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142
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ICMLA
2007
15 years 5 months ago
Understanding Challenges in Preserving and Reconstructing Computer-Assisted Medical Decision Processes
— This paper addresses the problem of understanding preservation and reconstruction requirements for computeraided medical decision-making. With an increasing number of computer-...
Sang-Chul Lee, Peter Bajcsy
142
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BMCBI
2010
118views more  BMCBI 2010»
15 years 3 months ago
From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
140
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SUTC
2010
IEEE
15 years 2 months ago
Effective Metadata Management in Federated Sensor Networks
—As sensor networks become increasingly popular, heterogeneous sensor networks are being interconnected into federated sensor networks and provide huge volumes of sensor data to ...
Hoyoung Jeung, Sofiane Sarni, Ioannis Paparrizos, ...
153
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DOLAP
2010
ACM
15 years 1 months ago
Integrating OLAP and recommender systems: an evaluation perspective
The integration of OLAP with web-search technologies is a promising research topic. Recommender systems are popular web-search mechanisms, because they can address information ove...
Artus Krohn-Grimberghe, Alexandros Nanopoulos, Lar...
299
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Book
5396views
17 years 2 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li