PUMA

academical publication management
collect, organize, and share publications

( en | de )

 

Disambiguation of "Kim, Seyoung"

Author of the publication

copydeleteadd this publication to your clipboard
Modeling Waveform Shapes with Random E ects Segmental Hidden Markov Models.

, , and . UAI, page 309-316. AUAI Press, (2004)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Kim Meliani University of Stuttgart

Joel Kimmich University of Stuttgart

Do Yeon Kim University of Stuttgart

Dr. Wolfgang Kimmerle University of Stuttgart

Dr. -Ing. Kim Riedmüller University of Stuttgart

 

Other publications of authors with the same name

Reliability Challenges with Materials for Analog Computing., , , , , , , , , and 8 other author(s). IRPS, page 1-10. IEEE, (2019)Smoothing Proximal Gradient Method for General Structured Sparse Learning, , , , and . CoRR, (2012)High resolution image formation method based on the realistic spaceborne SAR modeling and simulation., , and . SAR, volume 9243 of SPIE Proceedings, page 924316. SPIE, (2014)Parametric Response Surface Models for Analysis of Multi-site fMRI Data., , , and . MICCAI, volume 3749 of Lecture Notes in Computer Science, page 352-359. Springer, (2005)Scheduling and Situation-Adaptive Operation for Energy Efficiency of Hot Press Forging Factory., and . ETFA, page 1157-1160. IEEE, (2018)Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity., and . ICML, page 543-550. Omnipress, (2010)A multivariate regression approach to association analysis of a quantitative trait network., , and . Bioinformatics, (2009)Modeling Waveform Shapes with Random Eects Segmental Hidden Markov Models, , and . CoRR, (2012)Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso, , , , and . CoRR, (2010)Feature Selection via Block-Regularized Regression., and . UAI, page 325-332. AUAI Press, (2008)