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» The Necessity of Combining Adaptation Methods
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ICCV
2011
IEEE
12 years 10 months ago
Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
Matthew D. Zeiler, Graham W. Taylor, Rob Fergus
ISMIS
2005
Springer
14 years 3 months ago
Robust Inference of Bayesian Networks Using Speciated Evolution and Ensemble
Recently, there are many researchers to design Bayesian network structures using evolutionary algorithms but most of them use the only one fittest solution in the last generation. ...
Kyung-Joong Kim, Ji-Oh Yoo, Sung-Bae Cho
COLING
2010
13 years 5 months ago
Simplicity is Better: Revisiting Single Kernel PPI Extraction
It has been known that a combination of multiple kernels and addition of various resources are the best options for improving effectiveness of kernel-based PPI extraction methods....
Sung-Pil Choi, Sung-Hyon Myaeng
MICCAI
2005
Springer
14 years 10 months ago
A Hybrid Cutting Approach for Hysteroscopy Simulation
An integral element of every surgical simulator is the ability to interactively cut tissue. A number of approaches have been suggested in the past, the most important being mesh su...
Denis Steinemann, Gábor Székely, Mar...
ICRA
2006
IEEE
124views Robotics» more  ICRA 2006»
14 years 4 months ago
Hybrid Vision-force Robot Control for Tasks on Unknown Smooth Surfaces
— This work considers a hybrid force and vision control system for robotic manipulators using a force sensor and a fixed uncalibrated camera. A method is proposed to combine dir...
Antonio C. Leite, Fernando C. Lizarralde, Liu Hsu