@article {18242,
	title = {Modeling and Analysis of Correlated Binary Fingerprints for Content Identification},
	journal = {Information Forensics and Security, IEEE Transactions on},
	volume = {6},
	year = {2011},
	month = {2011/09//},
	pages = {1146 - 1159},
	abstract = {Multimedia identification via content fingerprints is used in many applications, such as content filtering on user-generated content websites, and automatic multimedia identification and tagging. A compact $\#$x201C;fingerprint $\#$x201D; is computed for each multimedia signal that captures robust and unique properties of the perceptual content, which is later used for identifying the multimedia. Several different multimedia fingerprinting schemes have been proposed in the literature and have been evaluated through experiments. To complement these experimental evaluations and provide guidelines for choosing system parameters and designing better schemes, this paper develops models for content fingerprinting and provides an analysis of the identification performance under these models. As a first step, bounds on the identification accuracy and the required fingerprint length for the simplest case when the fingerprint bits are modeled as i.i.d. are summarized. Markov Random Fields are then used to address more realistic settings of fingerprints with correlated components. The optimal likelihood ratio detector is derived and a statistical physics inspired approach for computing the probability of detection and probability of false alarm is described. The analysis shows that the commonly used Hamming distance detection criterion is susceptible to correlations among fingerprint bits, whereas the optimal log-likelihood ratio decision rule yields 5-20\% improvement in the accuracy over a range of correlations. Simulation results demonstrate the validity of the theoretical predictions.},
	keywords = {alarm, approach;user, binary, computing;, content, criterion;Markov, decision, DETECTION, detector;statistical, distance, fields;content, filtering;content, filtering;multimedia, fingerprinting, fingerprints;detection, generated, Hamming, identification;correlated, identification;optimal, inspired, likelihood, Physics, probability;false, probability;log, processes;Web, random, ratio, rule;multimedia, schemes;multimedia, sites;information, Websites;Markov},
	isbn = {1556-6013},
	doi = {10.1109/TIFS.2011.2152394},
	author = {Varna,A.L. and M. Wu}
}
@conference {12691,
	title = {A hybrid algorithm for subpixel detection in hyperspectral imagery},
	booktitle = {Geoscience and Remote Sensing Symposium, 2004. IGARSS {\textquoteright}04. Proceedings. 2004 IEEE International},
	volume = {3},
	year = {2004},
	month = {2004/09//},
	pages = {1601 -1604 vol.3 - 1601 -1604 vol.3},
	abstract = {Numerous subpixel detection algorithms utilizing structured backgrounds have been developed over the past few years. These range from detection schemes based on spectral unmixing to generalized likelihood ratio tests. Spectral unmixing algorithms such as the Fully Constrained Least Squares (FCLS) algorithm have the advantage of physically modeling the interactions of spectral signatures based on reflectance/emittance spectroscopy. Generalized likelihood ratio tests like the Adaptive Matched Subspace Detector (AMSD) have the advantage of identifying targets that are statistically different from the background. Therefore, a hybrid detector based on both AMSD and FCLS was developed to take advantage of each detector{\textquoteright}s strengths. Results demonstrate that the hybrid detector achieved the lowest false alarm rates while also producing meaningful abundance estimates},
	keywords = {alarm, algorithm;abundance, algorithm;Fully, algorithm;hybrid, algorithm;statistical, AMSD;Adaptive, analysis;structured, approximations;maximum, backgrounds;subpixel, constrained, detection;alarm, detection;target, Detector;FCLS, detector;hyperspectral, estimation;, estimation;emittance, identification;adaptive, imagery;reflectance, least, likelihood, Matched, matching;least, processing;geophysical, rate;generalized, ratio, signal, signatures;spectral, spectra;false, spectra;spectral, squares, subspace, systems;geophysical, techniques;image, tests;hybrid, unmixing},
	doi = {10.1109/IGARSS.2004.1370633},
	author = {Broadwater, J. and Meth, R. and Chellapa, Rama}
}
@article {15401,
	title = {Resolution enhancement by applying MFM under UHV conditions},
	journal = {Magnetics, IEEE Transactions on},
	volume = {36},
	year = {2000},
	month = {2000/09//},
	pages = {2975 - 2977},
	abstract = {The enhancement in signal-to-noise ratio and lateral resolution in MFM in going from ambient pressure to UHV is demonstrated. The performance of several cantilevers is evaluated using a patterned 50 nm thick permalloy film, with cross-tie as well as 90 deg; domain walls, and a 200 nm thick permalloy film with perpendicular magnetization. The increase in the quality factor of the cantilever oscillation in UHV improves the sensitivity, consequently allowing less magnetic material on the tip to achieve the same signal-to-noise ratio. This reduction in magnetic volume sharpens the lateral resolution. We also demonstrate that the magnetic interaction can be so weak that a magnetic contrast is visible only under UHV conditions},
	keywords = {conditions;cantilevers;domain, contrast;magnetic, domain, enhancement;Permalloy;magnetic, enhancement;signal-to-noise, film;perpendicular, films;magnetisation;, force, magnetization;resolution, MFM;NiFe;UHV, microscopy;magnetic, ratio, resolution;magnetic, thin, volume;permalloy, walls;lateral, walls;magnetic},
	isbn = {0018-9464},
	doi = {10.1109/20.908645},
	author = {Dreyer,M. and Gomez,R.D. and Mayergoyz, Issak D}
}
