Neural Information Processing Systems / MIT Press / /
Country
Jordan / Czech Republic / /
Currency
cent / / /
Facility
David M. Lyle University of Central Florida School / /
IndustryTerm
fundamental tools / appropriate optimization algorithm / perceptron algorithm / energy minimization / inference algorithm / inference algorithms / approximate energy minimization / Recent systems / matrix-vector products / perceptron algorithms / approximate inference algorithms / energy minimization methods / approximate inference algorithm / /
Organization
MIT / University of Central Florida School of Electrical Engineering and Computer Science Orlando / Analysis and Machine Intelligence / Pattern Analysis and Machine Intelligence / /
Person
B. Taskar / V / J. Portilla / V / O. Veksler / V / Marshall F. Tappen / Craig V. Dean / /
Position
Statistician / structured model for classification / classification model for segmentation / /
ProgrammingLanguage
FL / /
ProvinceOrState
Massachusetts / /
PublishedMedium
IEEE Transactions on Information Theory / Journal of Machine Learning Research / /
The Logistic Random Field – A Convenient Graphical Model for Learning Parameters for MRF-based Labeling Marshall F. Tappen, Kegan G. G. Samuel, Craig V. Dean, David M. Lyle University of Central Florida School of Elect