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IROS
2009
IEEE
155views Robotics» more  IROS 2009»
14 years 4 months ago
Active learning using mean shift optimization for robot grasping
— When children learn to grasp a new object, they often know several possible grasping points from observing a parent’s demonstration and subsequently learn better grasps by tr...
Oliver Kroemer, Renaud Detry, Justus H. Piater, Ja...
IJCAI
1997
13 years 11 months ago
An Effective Learning Method for Max-Min Neural Networks
Max and min operations have interesting properties that facilitate the exchange of information between the symbolic and real-valued domains. As such, neural networks that employ m...
Loo-Nin Teow, Kia-Fock Loe
HT
2005
ACM
14 years 3 months ago
Activity links: supporting communication and reflection about action
Tasks that take place over a long period of time or collaborative tasks where participants are required to develop an understanding of each other’s effort benefit from better co...
Hao-wei Hsieh, Frank M. Shipman III
DIS
2008
Springer
13 years 11 months ago
Active Learning for High Throughput Screening
Abstract. An important task in many scientific and engineering disciplines is to set up experiments with the goal of finding the best instances (substances, compositions, designs) ...
Kurt De Grave, Jan Ramon, Luc De Raedt
CVPR
2006
IEEE
15 years 2 days ago
A Geodesic Active Contour Framework for Finding Glass
This paper addresses the problem of finding objects made of glass (or other transparent materials) in images. Since the appearance of glass objects depends for the most part on wha...
Kenton McHenry, Jean Ponce