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ICASSP
2011
IEEE
14 years 7 months ago
Versatile and portable DSP platform for learning embedded signal processing
This paper presents a versatile and portable digital signal processing (DSP) platform that is highly suitable for learning embedded signal processing anywhere and anytime. This DS...
Woon-Seng Gan, Abhishek Seth, Sen M. Kuo
CAEPIA
2011
Springer
14 years 4 months ago
Evaluating a Reinforcement Learning Algorithm with a General Intelligence Test
In this paper we apply the recent notion of anytime universal intelligence tests to the evaluation of a popular reinforcement learning algorithm, Q-learning. We show that a general...
Javier Insa-Cabrera, David L. Dowe, José He...
ICPR
2004
IEEE
16 years 5 months ago
Online Learning of Color Transformation for Interactive Object Recognition under Various Lighting Conditions
This paper describes an online learning method of color transformation for interactive object recognition. In order to recognize objects under various lighting conditions, the sys...
Nobutaka Shimada, Yasushi Makihara, Yoshiaki Shira...
ICRA
2009
IEEE
125views Robotics» more  ICRA 2009»
15 years 10 months ago
A novel method for learning policies from constrained motion
— Many everyday human skills can be framed in terms of performing some task subject to constraints imposed by the environment. Constraints are usually unobservable and frequently...
Matthew Howard, Stefan Klanke, Michael Gienger, Ch...
ICRA
2008
IEEE
124views Robotics» more  ICRA 2008»
15 years 10 months ago
Simultaneous learning of motion and sensor model parameters for mobile robots
— Motion and sensor models are crucial components in current algorithms for mobile robot localization and mapping. These models are typically provided and hand-tuned by a human o...
Teddy N. Yap Jr., Christian R. Shelton