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TOG
2010
106views more  TOG 2010»
15 years 1 months ago
Accelerating spatially varying Gaussian filters
High-dimensional Gaussian filters, most notably the bilateral filter, are important tools for many computer graphics and vision tasks. In recent years, a number of techniques for ...
Jongmin Baek, David E. Jacobs
MICCAI
2008
Springer
16 years 1 months ago
Soft Tissue Tracking for Minimally Invasive Surgery: Learning Local Deformation Online
Accurate estimation and tracking of dynamic tissue deformation is important to motion compensation, intra-operative surgical guidance and navigation in minimally invasive surgery. ...
Peter Mountney and Guang-Zhong Yang
MHCI
2007
Springer
16 years 1 months ago
Effective learn-quiz generation for handheld devices
In this demonstration, we present a system that enables users to easily generate quizzes for mobile devices. With our program, they can create multiple choice tests and general qu...
Wolfgang Hürst, Sabine Jung, Martina Welte
IJCNN
2000
IEEE
15 years 11 months ago
Classification of Noisy Signals Using Fuzzy ARTMAP Neural Networks
—This paper describes an approach to classification of noisy signals using a technique based on the fuzzy ARTMAP neural network (FAMNN). The proposed method is a modification of ...
Dimitrios Charalampidis, Michael Georgiopoulos, Ta...
UAI
2008
15 years 8 months ago
Projected Subgradient Methods for Learning Sparse Gaussians
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
John Duchi, Stephen Gould, Daphne Koller