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» Relational Parametricity for Computational Effects
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157
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CISST
2004
164views Hardware» more  CISST 2004»
15 years 6 months ago
Probabilistic Region Relevance Learning for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Iker Gondra, Douglas R. Heisterkamp
118
Voted
ICCTA
2007
IEEE
15 years 11 months ago
On the Link Excess Life in Mobile Wireless Networks
In this paper, one of the most important parameters in performance evaluation and protocol design of wireless networks, Link Excess Life (LEL), is investigated. An analytical mode...
Abbas Nayebi, A. Khosravi, Hamid Sarbazi-Azad
NDSS
2002
IEEE
15 years 9 months ago
Performance Analysis of TLS Web Servers
TLS is the protocol of choice for securing today’s ecommerce and online transactions, but adding TLS to a web server imposes a significant overhead relative to an insecure web ...
Cristian Coarfa, Peter Druschel, Dan S. Wallach
136
Voted
ICPR
2006
IEEE
16 years 5 months ago
Nonparametric Background Generation
A novel background generation method based on nonparametric background model is presented for background subtraction. We introduce a new model, named as effect components descript...
Debin Zhao, Hongxun Yao, Wen Gao, Xilin Chen, Yazh...
ICPR
2004
IEEE
16 years 5 months ago
Transitions of the Pre-Symmetry Set
The Symmetry Set (??) and its subset the Medial Axis (? ), can be used to describe a shape. The representation of the ?? in parameter space is called the pre-Symmetry Set. Changes...
Arjan Kuijper, Ole Fogh Olsen