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» Observational Learning in Random Networks
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ICPR
2008
IEEE
14 years 3 months ago
Generative models for fingerprint individuality using ridge models
Generative models of pattern individuality attempt to learn the distribution of observed quantitative features to determine the probability of two random patterns being the same. ...
Chang Su, Sargur N. Srihari
IEEEIAS
2007
IEEE
14 years 3 months ago
Generative Models for Fingerprint Individuality using Ridge Types
Generative models of pattern individuality attempt to represent the distribution of observed quantitative features, e.g., by learning parameters from a database, and then use such...
Gang Fang, Sargur N. Srihari, Harish Srinivasan
WIDM
2004
ACM
14 years 2 months ago
Probabilistic models for focused web crawling
A Focused crawler must use information gleaned from previously crawled page sequences to estimate the relevance of a newly seen URL. Therefore, good performance depends on powerfu...
Hongyu Liu, Evangelos E. Milios, Jeannette Janssen
IMC
2006
ACM
14 years 3 months ago
On unbiased sampling for unstructured peer-to-peer networks
This paper addresses the difficult problem of selecting representative samples of peer properties (e.g., degree, link bandwidth, number of files shared) in unstructured peer-to-p...
Daniel Stutzbach, Reza Rejaie, Nick G. Duffield, S...
INFOCOM
2007
IEEE
14 years 3 months ago
Rate-Adaptive Framing for Interfered Wireless Networks
The majority of existing wireless rate controls are based on the implicit assumption that frames are corrupted due to the random, arbitrary environmental and thermal noises. They ...
Chun-cheng Chen, Haiyun Luo, Eunsoo Seo, Nitin H. ...