50 search results - page 9 / 10 » Deep Learning with Kernel Regularization for Visual Recognit... |
DAGM
2007
Springer
13 years 11 months ago
2007
Springer
Deblurring is important in many visual systems. This paper presents a novel approach for nonstationary blurred image reconstruction with ringing reduction in a variational Bayesian...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
In real-world applications of visual recognition, many factors—such as pose, illumination, or image quality—can cause a significant mismatch between the source domain on whic...
AAAI
2012
11 years 7 months ago
2012
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
NIPS
2008
13 years 6 months ago
2008
In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. These representa...
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....