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ICIP
2001
IEEE
14 years 12 months ago
Image retrieval with relevance feedback: from heuristic weight adjustment to optimal learning methods
Various relevance feedback algorithms have been proposed in recent years in the area of content-based image retrieval. This paper gives a brief review and analysis on existing tec...
Xiang Sean Zhou, Thomas S. Huang
MICCAI
2008
Springer
14 years 11 months ago
Customized Design of Hearing Aids Using Statistical Shape Learning
3D shape modeling is a crucial component of rapid prototyping systems that customize shapes of implants and prosthetic devices to a patient's anatomy. In this paper, we presen...
Gozde B. Unal, Delphine Nain, Gregory G. Slabaug...
ICPR
2010
IEEE
14 years 5 months ago
Gait Learning-Based Regenerative Model: A Level Set Approach
We propose a learning method for gait synthesis from a sequence of shapes(frames) with the ability to extrapolate to novel data. It involves the application of PCA, first to redu...
Muayed Sattar Al-Huseiny, Sasan Mahmoodi, Mark Nix...
ICRA
2005
IEEE
142views Robotics» more  ICRA 2005»
14 years 3 months ago
A Real-Time Haptic/Graphic Demonstration of how Error Augmentation can Enhance Learning
– We developed a real-time controller for a 2 degree-of-freedom robotic system using xPC Target. This system was used to investigate how different methods of performance error fe...
Yejun Wei, James L. Patton, Preeti Bajaj, Robert S...
KES
2005
Springer
14 years 3 months ago
Using Relevance Feedback to Learn Both the Distance Measure and the Query in Multimedia Databases
Much of the world’s data is in the form of time series, and many other types of data, such as video, image, and handwriting, can easily be transformed into time series. This fact...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh