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DIS
2009
Springer
14 years 4 months ago
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Yasser El-Manzalawy, Vasant Honavar
ICRA
2008
IEEE
160views Robotics» more  ICRA 2008»
14 years 4 months ago
A constrained optimization approach to virtual fixtures for multi-handed tasks
— In this work, we have extended the concept of constrained motion control of robots to surgical tasks that require multiple robots. We present virtual fixtures to guide the mot...
Ankur Kapoor, Russell H. Taylor
NOMS
2002
IEEE
133views Communications» more  NOMS 2002»
14 years 2 months ago
Highly available and efficient load cluster management system using SNMP and Web
To cope with the explosive increase in the number of requests to Internet server systems, one popular solution is a load-balancing technique that uses a dispatcher in the front-en...
Myung-Sup Kim, Mi-Jeong Choi, James W. Hong
SIGGRAPH
2010
ACM
14 years 2 months ago
Interactive hair rendering under environment lighting
We present an algorithm for interactive hair rendering with both single and multiple scattering effects under complex environment lighting. The outgoing radiance due to single sca...
Zhong Ren, Kun Zhou, Tengfei Li, Wei Hua, Baining ...
FGR
1996
IEEE
198views Biometrics» more  FGR 1996»
14 years 2 months ago
Towards 3D hand tracking using a deformable model
In this paper we rst describe how we have constructed a 3D deformable Point Distribution Model of the human hand, capturing training data semi-automatically from volume images via...
Tony Heap, David Hogg