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ICDM
2005
IEEE
151views Data Mining» more  ICDM 2005»
15 years 8 months ago
A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria
In this paper, we propose a semi-supervised framework for learning a weighted Euclidean subspace, where the best clustering can be achieved. Our approach capitalizes on user-const...
Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, M...
C++
1994
132views more  C++ 1994»
15 years 3 months ago
ASX: An Object-Oriented Framework for Developing Distributed Applications
The ADAPTIVE Service eXecutive (ASX) is a highly modular and extensible object-oriented framework that simplifies the development and configuration of distributed applications on ...
Douglas C. Schmidt
PERCOM
2004
ACM
16 years 2 months ago
Proselytizing Pervasive Computing Education: A Strategy and Approach Influenced by Human-Computer Interaction
A course on pervasive computing should be structured around key functions throughout a systems development process to cover common underlying concerns throughout science and engin...
D. Scott McCrickard, Christa M. Chewar
MTSR
2007
Springer
15 years 8 months ago
Quality Metrics in Learning Objects
In today's rapidly evolving society, the range and depth of information available to us is quickly growing which affects educational institutions, who find it difficult to kee...
Juan F. Cervera, María G. López-L&oa...
MVA
1996
167views Computer Vision» more  MVA 1996»
15 years 3 months ago
Applying a Dynamic Recognition Scheme for Vehicle Recognition in Many Object Traffic Scenes
An adaptive object recognition scheme for image sequences of many object scenes is described. The scheme is applied for t r d c object recognition under ego-motion. The recursive ...
Wlodzimierz Kasprzak, Heinrich Niemann