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FLAIRS
2004
15 years 8 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang
IROS
2009
IEEE
138views Robotics» more  IROS 2009»
16 years 1 months ago
Using eigenposes for lossless periodic human motion imitation
— Programming a humanoid robot to perform an action that takes the robot’s complex dynamics into account is a challenging problem. Traditional approaches typically require high...
Rawichote Chalodhorn, Rajesh P. N. Rao
ALT
2011
Springer
14 years 6 months ago
On the Expressive Power of Deep Architectures
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
Yoshua Bengio, Olivier Delalleau
ICRA
2007
IEEE
160views Robotics» more  ICRA 2007»
16 years 26 days ago
CRF-Filters: Discriminative Particle Filters for Sequential State Estimation
Abstract— Particle filters have been applied with great success to various state estimation problems in robotics. However, particle filters often require extensive parameter tw...
Benson Limketkai, Dieter Fox, Lin Liao
MICCAI
2010
Springer
15 years 5 months ago
Automatic Detection and Segmentation of Axillary Lymph Nodes
Lymph node detection and measurement is a difficult and important part of cancer treatment. In this paper we present a robust and effective learning-based method for the automatic...
Adrian Barbu, Michael Sühling, Xun Xu, David ...