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ICCV
2011
IEEE
12 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
EMNLP
2009
13 years 5 months ago
On the Role of Lexical Features in Sequence Labeling
We use the technique of SVM anchoring to demonstrate that lexical features extracted from a training corpus are not necessary to obtain state of the art results on tasks such as N...
Yoav Goldberg, Michael Elhadad
HT
2005
ACM
14 years 1 months ago
RSS as a distribution medium for geo-spatial hypermedia
This paper describes how the XML based RSS syndication formats used in weblogs can be utilized as the distribution medium for geo-spatial hypermedia, and how this approach can be ...
Frank Allan Hansen, Bent Guldbjerg Christensen, Ni...
COORDINATION
2006
Springer
13 years 11 months ago
Formalising Business Process Execution with Bigraphs and Reactive XML
Bigraphical Reactive Systems have been proposed as a meta model for global ubiquitous computing generalising process calculi for mobility such as the pi-calculus and the Mobile Amb...
Thomas T. Hildebrandt, Henning Niss, Martin Olsen
ICCV
2011
IEEE
12 years 7 months ago
Scale Space for Central Catadioptric Systems. Towards a generic camera feature extractor.
In this paper we propose a new approach to compute the scale space of any omnidirectional image acquired with a central catadioptric system. When these cameras are central they ar...
Luis Puig, Jose Guerrero