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» Objective reduction using a feature selection technique
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137
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ICMI
2009
Springer
162views Biometrics» more  ICMI 2009»
15 years 10 months ago
Multi-modal features for real-time detection of human-robot interaction categories
Social interactions unfold over time, at multiple time scales, and can be observed through multiple sensory modalities. In this paper, we propose a machine learning framework for ...
Ian R. Fasel, Masahiro Shiomi, Pilippe-Emmanuel Ch...
ICRA
2009
IEEE
148views Robotics» more  ICRA 2009»
15 years 10 months ago
Active guidance of a handheld micromanipulator using visual servoing
²In microsurgery, a surgeon often deals with anatomical structures of sizes that are close to the limit of the human hand accuracy. Robotic assistants can help to push beyond the ...
Brian C. Becker, Sandrine Voros, Robert A. MacLach...
ICCV
1999
IEEE
15 years 7 months ago
Motion Segmentation based on Factorization Method and Discriminant Criterion
A motion segmentation algorithm based on factorization method and discriminant criterion is proposed. This method uses a feature with the most useful similarities for grouping, se...
Naoyuki Ichimura
APNOMS
2008
Springer
15 years 5 months ago
Empirical Analysis of Application-Level Traffic Classification Using Supervised Machine Learning
Accurate application traffic classification and identification are important for network monitoring and analysis. The accuracy of traditional Internet application traffic classific...
Byungchul Park, Young J. Won, Mi-Jung Choi, Myung-...
145
Voted
ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
15 years 9 months ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti