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CVPR
2010
IEEE
16 years 2 months ago
Learning from Interpolated Images using Neural Networks for Digital Forensics
Interpolated images have data redundancy, and special correlation exists among neighboring pixels, which is a crucial clue in digital forensics. We design a neural network based f...
Yizhen Huang, Na Fan
ECML
1991
Springer
15 years 10 months ago
Semi-Naive Bayesian Classifier
1 A novel semi-naive Bayesian classifier is introduced that is particularly suitable to data with many attributes. The naive Bayesian classifier is taken as a starting point and co...
Igor Kononenko
CVPR
2010
IEEE
1790views Computer Vision» more  CVPR 2010»
16 years 2 months ago
Data Driven Mean-Shift Belief Propagation For non-Gaussian MRFs
We introduce a novel data-driven mean-shift belief propagation (DDMSBP) method for non-Gaussian MRFs, which often arise in computer vision applications. With the aid of scale sp...
Minwoo Park, S. Kashyap, R. Collins, and Y. Liu
AMAI
2004
Springer
16 years 7 hour ago
Learning via Finitely Many Queries
This work introduces a new query inference model that can access data and communicate with a teacher by asking finitely many boolean queries in a language L. In this model the pa...
Andrew C. Lee
EDBTW
2004
Springer
15 years 12 months ago
Data Sharing and Querying for Peer-to-Peer Data Management Systems
In this work, we investigate mechanisms to support data sharing and querying in a peer-to-peer data management system, that is, a peer-to-peer system where each peer manages its ow...
Anastasios Kementsietsidis