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» Extracting Randomness from Samplable Distributions
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ICCV
2003
IEEE
14 years 10 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
14 years 3 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»
13 years 3 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
14 years 9 months 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»
14 years 2 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