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ICMT
2011
Springer
14 years 9 months ago
A Demonstration-based Approach to Support Live Transformations in a Model Editor
Complex model editing activities are frequently performed to realize various model evolution tasks (e.g., model scalability, weaving aspects into models, and model refactoring). In...
Yu Sun, Jeff Gray, Christoph Wienands, Michael Gol...
CVPR
2008
IEEE
16 years 8 months ago
Two-Dimensional Active Learning for image classification
In this paper, we propose a two-dimensional active learning scheme and show its application in image classification. Traditional active learning methods select samples only along ...
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang,...
AE
2001
Springer
15 years 10 months ago
Why Biologists and Computer Scientists Should Work Together
This is a time of increasing interdisciplinary research. Computer science is learning more from biology every day, enabling a plethora of new software techniques to flourish. And b...
Peter J. Bentley
NC
2006
132views Neural Networks» more  NC 2006»
15 years 6 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu
CHI
2004
ACM
15 years 11 months ago
Topobo: a constructive assembly system with kinetic memory
We introduce Topobo, a 3D constructive assembly system embedded with kinetic memory, the ability to record and playback physical motion. Unique among modeling systems is Topoboʼs...
Hayes Raffle, Amanda J. Parkes, Hiroshi Ishii