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» Machine-Learning Applications of Algorithmic Randomness
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FSE
2005
Springer
108views Cryptology» more  FSE 2005»
15 years 7 months ago
Unbiased Random Sequences from Quasigroup String Transformations
Abstract. The need of true random number generators for many purposes (ranging from applications in cryptography and stochastic simulation, to search heuristics and game playing) i...
Smile Markovski, Danilo Gligoroski, Ljupco Kocarev
DSN
2007
IEEE
15 years 8 months ago
R-Sentry: Providing Continuous Sensor Services against Random Node Failures
The success of sensor-driven applications is reliant on whether a steady stream of data can be provided by the underlying system. This need, however, poses great challenges to sen...
Shengchao Yu, Yanyong Zhang
DRM
2007
Springer
15 years 8 months ago
Randomized radon transforms for biometric authentication via fingerprint hashing
We present a new technique for generating biometric fingerprint hashes, or summaries of information contained in human fingerprints. Our method calculates and aggregates various...
Mariusz H. Jakubowski, Ramarathnam Venkatesan
ESA
1997
Springer
93views Algorithms» more  ESA 1997»
15 years 5 months ago
Quasi-Fully Dynamic Algorithms for Two-Connectivity, Cycle Equivalence and Related Problems
In thispaper we introduce a new class of dynamicgraphalgorithmscalledquasi-fully dynamic algorithms,which are much more general than the backtracking algorithmsand are much simple...
Madhukar R. Korupolu, Vijaya Ramachandran
ECCV
2010
Springer
15 years 1 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof