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BCS
2008
13 years 9 months ago
Improved SIFT-Features Matching for Object Recognition
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
Faraj Alhwarin, Chao Wang, Danijela Ristic-Durrant...
AIA
2006
13 years 9 months ago
Recurrent and Concurrent Neural Networks for Objects Recognition
A system based on a neural network framework is considered. We used two neural networks, an Elman network [1][2] and a Kohonen (concurrent) network [3], for a categorization task....
Federico Cecconi, Marco Campenní
EUROCRYPT
1999
Springer
13 years 12 months ago
Software Performance of Universal Hash Functions
Abstract. This paper compares the parameters sizes and software performance of several recent constructions for universal hash functions: bucket hashing, polynomial hashing, Toepli...
Wim Nevelsteen, Bart Preneel
CEC
2008
IEEE
14 years 2 months ago
A study on constrained MA using GA and SQP: Analytical vs. finite-difference gradients
— Many deterministic algorithms in the context of constrained optimization require the first-order derivatives, or the gradient vectors, of the objective and constraint function...
Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soo...
IOLTS
2002
IEEE
127views Hardware» more  IOLTS 2002»
14 years 18 days ago
Fault Tolerance Evaluation Using Two Software Based Fault Injection Methods
A silicon independent C-Based model of the TTP/C protocol was implemented within the EU-founded project FIT. The C-based model is integrated in the C-Sim simulation environment. T...
Astrit Ademaj, Petr Grillinger, Pavel Herout, Jan ...