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I-Jeng Wang

Showing results (1-10 of 5) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|September 6, 2005
Bayesian model selection for mining mass spectrometry dataAnshu Saksena, Dennis Lucarelli, I-Jeng Wang
Neural Computation|January 29, 2021
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly DetectionWilliam Paul, I-Jeng Wang, Fady Alajaji, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 6, 2010
Distributed consensus on camera poseAnne Jorstad, Daniel DeMenthon, I-Jeng Wang, et al.
Computers in Biology and Medicine|December 25, 2018
Deep embeddings for novelty detection in myopathyPhilippe Burlina, Neil Joshi, Seth Billings, et al.
Plos One|October 13, 2018
Sensor-based measurement of critical care nursing workload: Unobtrusive measures of nursing activity complement traditional task and patient level indicators of workload to predict perceived exertionMichael A Rosen, Aaron S Dietz, Nam Lee, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|September 6, 2005
Bayesian model selection for mining mass spectrometry dataAnshu Saksena, Dennis Lucarelli, I-Jeng Wang
Neural Computation|January 29, 2021
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly DetectionWilliam Paul, I-Jeng Wang, Fady Alajaji, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 6, 2010
Distributed consensus on camera poseAnne Jorstad, Daniel DeMenthon, I-Jeng Wang, et al.
Computers in Biology and Medicine|December 25, 2018
Deep embeddings for novelty detection in myopathyPhilippe Burlina, Neil Joshi, Seth Billings, et al.
Plos One|October 13, 2018
Sensor-based measurement of critical care nursing workload: Unobtrusive measures of nursing activity complement traditional task and patient level indicators of workload to predict perceived exertionMichael A Rosen, Aaron S Dietz, Nam Lee, et al.
Pageof 1