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AIM
2006
15 years 6 months ago
Comparative Analysis of Frameworks for Knowledge-Intensive Intelligent Agents
maintain awareness of its environment for a long period of time. Additionally, knowledge-intensive agents must be engineered such that their knowledge can be easily updated as envi...
Randolph M. Jones, Robert E. Wray III
JOT
2006
75views more  JOT 2006»
15 years 6 months ago
Porting the .NET Compact Framework to Symbian Phones
As a result of the increasing availability and processing capacity offered by portable devices, it is important for software providers to offer mobile services that seamlessly int...
Frank Siegemund, Robert Sugar, Alain Gefflaut, Fri...
JSW
2007
102views more  JSW 2007»
15 years 6 months ago
A Novel Framework for Building Distributed Data Acquisition and Monitoring Systems
— We propose a novel framework for building a distributed data acquisition and monitoring system. Our novel framework is mainly based on XML leverages and OPC (Openness, Producti...
Vu Van Tan, Dae-Seung Yoo, Myeong-Jae Yi
CIKM
2010
Springer
15 years 5 months ago
FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization
Non-negative tensor factorization (NTF) is a relatively new technique that has been successfully used to extract significant characteristics from polyadic data, such as data in s...
Yun Chi, Shenghuo Zhu
CVPR
2005
IEEE
16 years 8 months ago
A Semi-Supervised Active Learning Framework for Image Retrieval
Although recent studies have shown that unlabeled data are beneficial to boosting the image retrieval performance, very few approaches for image retrieval can learn with labeled a...
Steven C. H. Hoi, Michael R. Lyu