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119
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ICPR
2010
IEEE
15 years 6 months ago
A Meta-Learning Approach to Conditional Random Fields Using Error-Correcting Output Codes
—We present a meta-learning framework for the design of potential functions for Conditional Random Fields. The design of both node potential and edge potential is formulated as a...
Francesco Ciompi, Oriol Pujol, Petia Radeva
CGA
2008
15 years 24 days ago
Depth-of-Field Blur Effects for First-Person Navigation in Virtual Environments
This paper studies the use of visual blur effects, i.e., blurring of parts of the image fed back to the user, for First-Person-Navigations in Virtual Environments (VE). First, we ...
Sébastien Hillaire, Anatole Lécuyer,...
130
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TIT
2008
107views more  TIT 2008»
15 years 18 days ago
Computing Binary Combinatorial Gray Codes Via Exhaustive Search With SAT Solvers
The term binary combinatorial Gray code refers to a list of binary words such that the Hamming distance between two neighboring words is one and the list satisfies some additional ...
Igor Zinovik, Daniel Kroening, Yury Chebiryak
113
Voted
CIMAGING
2009
192views Hardware» more  CIMAGING 2009»
15 years 1 months ago
Compressive coded aperture imaging
Nonlinear image reconstruction based upon sparse representations of images has recently received widespread attention with the emerging framework of compressed sensing (CS). This ...
Roummel F. Marcia, Zachary T. Harmany, Rebecca Wil...
CVPR
2008
IEEE
16 years 2 months ago
Selective hidden random fields: Exploiting domain-specific saliency for event classification
Classifying an event captured in an image is useful for understanding the contents of the image. The captured event provides context to refine models for the presence and appearan...
Vidit Jain, Amit Singhal, Jiebo Luo