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» On Computing Functions with Uncertainty
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227
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TIT
2010
130views Education» more  TIT 2010»
15 years 1 months ago
Pseudo-random functions and parallelizable modes of operations of a block cipher
This paper considers the construction and analysis of pseudo-random functions (PRFs) with specific reference to modes of operations of a block cipher. In the context of message aut...
Palash Sarkar
215
Voted
BIBM
2009
IEEE
206views Bioinformatics» more  BIBM 2009»
16 years 1 months ago
Application of Kernel Functions for Accurate Similarity Search in Large Chemical Databases
Background: Similaritysearch in chemical structure databases is an important problem with many applications in chemical genomics, drug design, and efficient chemical probe screeni...
Xiaohong Wang, Jun Huan, Aaron M. Smalter, Gerald ...
227
Voted
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
16 years 15 days ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
ITC
2003
IEEE
151views Hardware» more  ITC 2003»
16 years 4 days ago
Fault Collapsing via Functional Dominance
A fault fj is said to dominate another fault fi if all tests for fi detect fj . When two faults dominate each other, they are called equivalent. Dominance and equivalence relation...
Vishwani D. Agrawal, A. V. S. S. Prasad, Madhusuda...
181
Voted
VVS
1998
IEEE
126views Visualization» more  VVS 1998»
15 years 11 months ago
Semi-Automatic Generation of Transfer Functions for Direct Volume Rendering
Although direct volume rendering is a powerful tool for visualizing complex structures within volume data, the size and complexity of the parameter space controlling the rendering...
Gordon L. Kindlmann, James W. Durkin