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» Making inferences with small numbers of training sets
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LISA
2007
15 years 2 months ago
Inferring Higher Level Policies from Firewall Rules
Packet filtering firewall is one of the most important mechanisms used by corporations to enforce their security policy. Recent years have seen a lot of research in the area of ...
Alok Tongaonkar, Niranjan Inamdar, R. Sekar
CHI
2011
ACM
14 years 3 months ago
PhotoCity: training experts at large-scale image acquisition through a competitive game
Large-scale, ground-level urban imagery has recently developed as an important element of online mapping tools such as Google’s Street View. Such imagery is extremely valuable i...
Kathleen Tuite, Noah Snavely, Dun-yu Hsiao, Nadine...
CVPR
2004
IEEE
16 years 1 months ago
Efficient Belief Propagation for Early Vision
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
ACMSE
2006
ACM
15 years 5 months ago
Type inference and informative error reporting for secure information flow
If we classify the variables of a program into various security levels, then a secure information flow analysis aims to verify statically that information in the program can flo...
Zhenyue Deng, Geoffrey Smith
BMCBI
2006
174views more  BMCBI 2006»
14 years 11 months ago
CARAT: A novel method for allelic detection of DNA copy number changes using high density oligonucleotide arrays
Background: DNA copy number alterations are one of the main characteristics of the cancer cell karyotype and can contribute to the complex phenotype of these cells. These alterati...
Jing Huang, Wen Wei, Joyce Chen, Jane Zhang, Guoyi...