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CVPR
2010
IEEE
16 years 3 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 3 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 19 days 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
16 years 18 days 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