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CVPR
2007
IEEE
16 years 8 months ago
Learning Gaussian Conditional Random Fields for Low-Level Vision
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
Marshall F. Tappen, Ce Liu, Edward H. Adelson, Wil...
RSP
2005
IEEE
155views Control Systems» more  RSP 2005»
16 years 2 days ago
Optimization Techniques for ADL-Driven RTL Processor Synthesis
Nowadays, Architecture Description Languages (ADLs) are getting popular to speed up the development of complex SoC design, by performing the design space explon a higher level of ...
Oliver Schliebusch, Anupam Chattopadhyay, Ernst Ma...
ACCV
2009
Springer
16 years 1 months ago
Levels of Details for Gaussian Mixture Models
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
Vincent Garcia, Frank Nielsen, Richard Nock
EURODAC
1995
IEEE
202views VHDL» more  EURODAC 1995»
15 years 10 months ago
Hardware-software co-synthesis of fault-tolerant real-time distributed embedded systems
Distributed systems are becoming a popular way of implementing many embedded computing applications, automotive control being a common and important example. Such embedded systems...
Santhanam Srinivasan, Niraj K. Jha
CRYPTO
2006
Springer
224views Cryptology» more  CRYPTO 2006»
15 years 10 months ago
Anonymous Hierarchical Identity-Based Encryption (Without Random Oracles)
We present an identity-based cryptosystem that features fully anonymous ciphertexts and hierarchical key delegation. We give a proof of security in the standard model, based on the...
Xavier Boyen, Brent Waters