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» Extracting Randomness from Samplable Distributions
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ICCV
2003
IEEE
16 years 1 months ago
Machine Learning and Multiscale Methods in the Identification of Bivalve Larvae
This paper describes a novel application of support vector machines and multiscale texture and color invariants to a problem in biological oceanography: the identification of 6 sp...
Sanjay Tiwari, Scott Gallager
WISEC
2009
ACM
15 years 6 months ago
Mitigating control-channel jamming attacks in multi-channel ad hoc networks
We address the problem of control-channel jamming attacks in multi-channel ad hoc networks. Deviating from the traditional view that sees jamming attacks as a physical-layer vulne...
Loukas Lazos, Sisi Liu, Marwan Krunz
JDCTA
2010
125views more  JDCTA 2010»
14 years 6 months ago
Reliable Information Transmission: A Chaotic Sequence-Based Authentication Scheme for Radio Environment Maps Enabled Cognitive R
With the intent of efficient occupying under-utilized spectrum, radio environment map (REM) based cognitive radio (CR) networking is proposed to facilitate the distributed spectru...
Li Zhang, Guoxin Zheng
ICPR
2004
IEEE
16 years 21 days ago
Visual Learning and Recognition of a Probabilistic Spatio-Temporal Model of Cyclic Human Locomotion
We present a novel representation of cyclic human locomotion based on a set of spatio-temporal curves of tracked points on the surface of a person. We start by extracting a set of...
Miha Peternel, Ales Leonardis
PKDD
2007
Springer
91views Data Mining» more  PKDD 2007»
15 years 5 months ago
Domain Adaptation of Conditional Probability Models Via Feature Subsetting
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...
Sandeepkumar Satpal, Sunita Sarawagi