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» New Features to Identify Computer Generated Images
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TCSV
2008
195views more  TCSV 2008»
15 years 4 months ago
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
CVPR
2012
IEEE
13 years 6 months ago
Meta-class features for large-scale object categorization on a budget
In this paper we introduce a novel image descriptor enabling accurate object categorization even with linear models. Akin to the popular attribute descriptors, our feature vector ...
Alessandro Bergamo, Lorenzo Torresani
BMCBI
2010
146views more  BMCBI 2010»
15 years 4 months ago
Booly: a new data integration platform
Background: Data integration is an escalating problem in bioinformatics. We have developed a web tool and warehousing system, Booly, that features a simple yet flexible data model...
Long H. Do, Francisco F. Esteves, Harvey J. Karten...
IPPS
2006
IEEE
15 years 10 months ago
High-performance computing in remotely sensed hyperspectral imaging: the Pixel Purity Index algorithm as a case study
The incorporation of last-generation sensors to airborne and satellite platforms is currently producing a nearly continual stream of high-dimensional data, and this explosion in t...
Antonio Plaza, David Valencia, Javier Plaza
ICIP
2005
IEEE
16 years 5 months ago
Real-time generation of novel views of a dynamic scene using morphing and visual hull
Recently, generation of novel views from images acquired by multiple cameras has been investigated. It can be applied to telepresence effectively. Most conventional methods need so...
Tomoya Ishikawa, Kazumasa Yamazawa, Naokazu Yokoya