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» The Imalab Method for Vision Systems
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ECAI
2004
Springer
15 years 11 months ago
Combining Multiple Answers for Learning Mathematical Structures from Visual Observation
Learning general truths from the observation of simple domains and, further, learning how to use this knowledge are essential capabilities for any intelligent agent to understand ...
Paulo Santos, Derek R. Magee, Anthony G. Cohn, Dav...
ARCS
2005
Springer
15 years 12 months ago
Adaptive Object Acquisition
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
Gabriele Peters, Claus-Peter Alberts, Markus Bries...
ICPR
2006
IEEE
16 years 7 months ago
Statistical Model for the Classification of the Wavelet Transforms of T-ray Pulses
This study applies Auto Regressive (AR) and Auto Regressive Moving Average (ARMA) modeling to wavelet decomposed terahertz pulsed signals to assist biomedical diagnosis and mail/p...
Bradley Ferguson, Brian Wai-Him Ng, Derek Abbott, ...
ICCV
2005
IEEE
16 years 8 months ago
A Graph Cut Algorithm for Generalized Image Deconvolution
The goal of deconvolution is to recover an image x from its convolution with a known blurring function. This is equivalent to inverting the linear system y = Hx. In this paper we ...
Ashish Raj, Ramin Zabih
CHI
2009
ACM
16 years 6 months ago
Fast finger tracking system for in-air typing interface
Kazuhiro Terajima The University of Tokyo 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656 Japan Kazuhiro_Terajima@ipc.i.u-tokyo.ac.jp Takashi Komuro The University of Tokyo 7-3-1 Hongo, Bu...
Kazuhiro Terajima, Takashi Komuro, Masatoshi Ishik...