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CRYPTO
2006
Springer
89views Cryptology» more  CRYPTO 2006»
14 years 22 days ago
Oblivious Transfer and Linear Functions
Abstract. We study unconditionally secure 1-out-of-2 Oblivious Transfer (1-2 OT). We first point out that a standard security requirement for 1-2 OT of bits, namely that the receiv...
Ivan Damgård, Serge Fehr, Louis Salvail, Chr...
FOCI
2007
IEEE
14 years 3 months ago
Opposite Transfer Functions and Backpropagation Through Time
— Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process t...
Mario Ventresca, Hamid R. Tizhoosh
IJCNN
2006
IEEE
14 years 3 months ago
Improving the Convergence of Backpropagation by Opposite Transfer Functions
—The backpropagation algorithm is a very popular approach to learning in feed-forward multi-layer perceptron networks. However, in many scenarios the time required to adequately ...
Mario Ventresca, Hamid R. Tizhoosh
SIBGRAPI
2005
IEEE
14 years 2 months ago
Two-Level Interaction Approach for Transfer Function Specification
Direct volume rendering techniques are used to visualize and explore large scalar volumes. Transfer functions (TFs) that assign opacity and color to scalar values are very importa...
João Luis Prauchner, Carla M. D. S. Freitas...
CGI
2006
IEEE
14 years 3 months ago
MIP-Guided Vascular Image Visualization with Multi-Dimensional Transfer Function
Direct volume rendering (DVR) is an effective way to visualize 3D vascular images for diagnosis of different vascular pathologies and planning of surgical treatments. Angiograms ar...
Ming-Yuen Chan, Yingcai Wu, Huamin Qu, Albert C. S...