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IMC
2007
ACM
13 years 11 months ago
Learning network structure from passive measurements
The ability to discover network organization, whether in the form of explicit topology reconstruction or as embeddings that approximate topological distance, is a valuable tool. T...
Brian Eriksson, Paul Barford, Robert Nowak, Mark C...
CRV
2011
IEEE
305views Robotics» more  CRV 2011»
12 years 9 months ago
Motion Segmentation by Learning Homography Matrices from Motor Signals
—Motion information is an important cue for a robot to separate foreground moving objects from the static background world. Based on the observation that the motion of the backgr...
Changhai Xu, Jingen Liu, Benjamin Kuipers
FUZZY
2004
Springer
125views Fuzzy Logic» more  FUZZY 2004»
14 years 3 months ago
A Feedforward Neural Network based on Multi-Valued Neurons
A feedforward neural network based on multi-valued neurons is considered in the paper. It is shown that using a traditional feedforward architecture and a high functionality multi-...
Igor N. Aizenberg, Claudio Moraga, Dmitriy Paliy
CHI
2007
ACM
14 years 10 months ago
Improvisation principles and techniques for design
Existing research addresses how designers create tools to support improvisation, yet little research explores how improvisation offers tools to support design work. This paper exp...
Elizabeth Gerber
CSCWD
2005
Springer
14 years 3 months ago
Workflow-based e-learning platform
E-learning has become one of most important means for the future education, especially for universities. This paper is based our e-learning teaching experience which comes from on...
Jianming Yong