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» Hidden Markov Models with Multiple Observation Processes
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NIPS
2008
15 years 3 months ago
Natural Image Denoising with Convolutional Networks
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Viren Jain, H. Sebastian Seung
WACV
2012
IEEE
13 years 9 months ago
Dynamic and invisible messaging for visual MIMO
The growing ubiquity of cameras in hand-held devices and the prevalence of electronic displays in signage creates a novel framework for wireless communications. Traditionally, the...
Wenjia Yuan, Kristin J. Dana, Ashwin Ashok, Marco ...
BC
2005
127views more  BC 2005»
15 years 1 months ago
Computational modeling and exploration of contour integration for visual saliency
Abstract Weproposeacomputationalmodelofcontourintegration for visual saliency. The model uses biologically plausible devices to simulate how the representations of elements aligned...
T. Nathan Mundhenk, Laurent Itti
IDT
2008
123views more  IDT 2008»
15 years 1 months ago
A rich semantic model of track as a foundation for sharing beliefs regarding dynamic objects and events
: Many defense, homeland security, and commercial security objectives require continuous tracking of mobile entities such as aircraft. The systems that perform these functions prod...
Frederick Hayes-Roth, Curtis L. Blais
CVPR
2007
IEEE
16 years 3 months ago
Compositional Boosting for Computing Hierarchical Image Structures
In this paper, we present a compositional boosting algorithm for detecting and recognizing 17 common image structures in low-middle level vision tasks. These structures, called &q...
Tianfu Wu, Gui-Song Xia, Song Chun Zhu