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TSD
2010
Springer
15 years 1 months ago
A Priori and A Posteriori Machine Learning and Nonlinear Artificial Neural Networks
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...
Jan Zelinka, Jan Romportl, Ludek Müller
147
Voted
AINA
2007
IEEE
15 years 7 months ago
Itinerary-Based Access Control for Mobile Tasks in Scientific Workflows
Current scientific workflow models require datasets to be transferred from their source to the hosts where they can be processed. This seriously impedes data-intensive application...
Zijiang Yang, Shiyong Lu, Ping Yang
172
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Feature selection based on Multiple Kernel Learning for single-channel sound source localization using the acoustic transfer fun
This paper presents a sound source (talker) localization method using only a single microphone. In our previous work [1], we discussed the single-channel sound source localization...
Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki
128
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Horror video scene recognition via Multiple-Instance learning
Along with the ever-growing Web comes the proliferation of objectionable content, such as pornography, violence, horror information, etc. Horror videos, whose threat to childrens ...
Jianchao Wang, Bing Li, Weiming Hu, Ou Wu
141
Voted
ICRA
2008
IEEE
160views Robotics» more  ICRA 2008»
15 years 9 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