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» Discrete optimization in computer vision
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MMSEC
2006
ACM
148views Multimedia» more  MMSEC 2006»
14 years 3 months ago
Minimizing the embedding impact in steganography
In this paper, we study the trade-off in steganography between the number of embedding changes and their amplitude. We assume that each element of the cover image is assigned a sc...
Jessica J. Fridrich
IESA
2007
13 years 11 months ago
A Security Framework for Smart Ubiquitous Industrial Resources
Conventional approaches to manage and control security seem to have reached their limits in new complex environments. These environments are open, dynamic, heterogeneous, distribut...
Anton Naumenko, Artem Katasonov, Vagan Y. Terziyan
CORR
2010
Springer
255views Education» more  CORR 2010»
13 years 10 months ago
Scalable Tensor Factorizations for Incomplete Data
The problem of incomplete data--i.e., data with missing or unknown values--in multi-way arrays is ubiquitous in biomedical signal processing, network traffic analysis, bibliometri...
Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy, Mo...
ADAC
2008
193views more  ADAC 2008»
13 years 10 months ago
A constrained-optimization based half-quadratic algorithm for robustly fitting sets of linearly parametrized curves
We consider the problem of multiple fitting of linearly parametrized curves, that arises in many computer vision problems such as road scene analysis. Data extracted from images us...
Jean-Philippe Tarel, Sio-Song Ieng, Pierre Charbon...
PRL
2007
166views more  PRL 2007»
13 years 9 months ago
Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scene
In this paper, we present a novel methodology to detect and recognize objects in cluttered scenes by proposing boosted contextual descriptors of landmarks in a framework of multi-...
Sergio Escalera, Oriol Pujol, Petia Radeva