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ICCV
2011
IEEE
14 years 7 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
ICCV
2011
IEEE
14 years 7 months ago
Manhattan Scene Understanding Using Monocular, Stereo, and 3D Features
This paper addresses scene understanding in the context of a moving camera, integrating semantic reasoning ideas from monocular vision with 3D information available through struct...
Alex Flint, David Murray, Ian Reid
CORR
2012
Springer
183views Education» more  CORR 2012»
14 years 3 months ago
Learning Determinantal Point Processes
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
Alex Kulesza, Ben Taskar
SBP
2012
Springer
14 years 3 months ago
Creating Interaction Environments: Defining a Two-Sided Market Model of the Development and Dominance of Platforms
Interactions between individuals, both economic and social, are increasingly mediated by technological systems. Such platforms facilitate interactions by controlling and regularizi...
Walter E. Beyeler, Andjelka Kelic, Patrick D. Finl...

Publication
302views
16 years 4 months ago
A New Fingerprinting Method For Digital Images
The wide use of digital media during the past few years, has led to an increase of digital piracy and tampering. To deal with these problems, the concept of watermarking has been i...
V.Fotopoulos and A.N.Skodras