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Showing results 1 to 20 of 40

Issue DateTitleAuthor(s)TypeView
2015-07-31A Deterministic Partition Function Approximation for Exponential Random Graph ModelsPu, Wen; Choi, Jaesik; Hwang, Yunseong; Amir, EyalCONFERENCE117
2015-12A Scalable and Flexible Repository for Big Sensor DataLee, Dongeun; Choi, Jaesik; Shin, HeonshikARTICLE984
2020-06-02A Single Multi-Task Deep Neural Network with Post-Processing for Object Detection with Reasoning and Robotic Grasp DetectionPark, Dongwon; Seo, Yonghyeok; Shin, Dongju; Choi, Jaesik; Chun, Se YoungCONFERENCE68
2013-06A spatio-temporal pyramid matching for video retrievalChoi, Jaesik; Wang, Ziyu; Lee, Sang-Chul; Jeon, Won J.ARTICLE999
2018-02An Expectation Maximization Method to Learn the Group Structure of Deep Neural NetworkChoi, Jaesik; Yi, SubinMaster's thesis1327
2016-06-21Automatic Construction of Nonparametric Relational Regression Models for Multiple Time SeriesHwang, Yunseong; Tong, Anh; Choi, JaesikCONFERENCE128
2017-08AUTOMATIC DECOMPOSITION OF SELF-TRIGGERING KERNELS OF HAWKES PROCESSESChoi, Jaesik; Lima, Rafael Goncalves deMaster's thesis1247
2019-08-14Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian ProcessesHan, Jiyeon; Lee, Kyowoon; Tong, Anh; Choi, JaesikCONFERENCE133
2018-08DEEP FULLY RESIDUAL CONVOLUTIONAL NEURAL NETWORK FOR SEMANTIC IMAGE SEGMENTATIONChoi, Jaesik; Tousi, AliMaster's thesis384
2019-08Deep Neural Networks to Learn Basis Functions with a Temporal Covariance LossChoi, Jaesik; Ju, JanghoonMaster's thesis440
2018-07-11Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated CurlingLee, Kyowoon; Kim, Sol-A; Choi, Jaesik; Lee, Seong-WhanCONFERENCE130
2019-06-12Discovering Latent Covariance Structures for Multiple Time SeriesTong, Anh; Choi, JaesikCONFERENCE100
2018-12-13Dynamic Online Performance Optimization in Streaming Data CompressionGibson, J. Kade; Lee, Dongeun; Choi, Jaesik; Sim, AlexanderCONFERENCE103
2017-04-04Expanding Statistical Similarity Based Data Reduction to Capture Diverse PatternsLee, Dongeun; Sim, Alex; Choi, Jaesik; Wu, KeshengCONFERENCE98
2015-12-20Extracting Baseline Electricity Usage Using Gradient Tree BoostingKim, Taehoon; Lee, Dongeun; Choi, Jaesik; Spurlock, Anna; Sim, Alex; Todd, Annika; Wu, KeshengCONFERENCE110
2013-10-06Fast Change Point Detection for Electricity Market AnalysisGu, William; Choi, Jaesik; Gu, Ming; Simon, Horst; Wu, KeshengCONFERENCE97
2018-03Generative Design of Electromagnetic Structures Through Bayesian LearningPatel, Ramesh; Roy, Kallol; Choi, Jaesik; Han, Ki JinARTICLE672
2016-09-21Global Deconvolutional Networks for Semantic SegmentationNekrasov, Vladimir; Ju, Janghoon; Choi, JaesikCONFERENCE103
2020-07-16HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data ParallelismPark, Jay H.; Yun, Gyeongchan; Yi, Chang M.; Nguyen, Nguyen T.; Lee, Seungmin; Choi, Jaesik; Noh, Sam H.; Choi, Young-RiCONFERENCE179
2016-06-27Improving Imprecise Compressive Sensing ModelsLee, Dongeun; Lima, Rafael; Choi, JaesikCONFERENCE152
Showing results 1 to 20 of 40

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