Author
pail
A New Method for Estimating the Partition Function of Exponential Random Graph Models!Paper, A Deterministic Partition Function Approximation for Exponential Random Graph Models by Wen Pu (Linked In), Jaesik Choi, Yunseong Hwang and Eyal Amir (University of Illinois) is accepted at the… Continue Reading →
We thank for the exciting talk about Deep Learning from Dr. Heeyoul Choi from Samsung in April 2015 (flyer)!
A magazine article written by Prof. Choi is published in TECHM magazine, a Korean tech magazine for the general public.
New Machine Learning Algorithm that Monitors Memory Behaviors for Secure Embedded Systems! Paper, Memory Heat Map: Anomaly Detection in Real-Time Embedded Systems Using Memory Behavior, by Man-Ki Yoon, Sibin Mohan, Jaesik Choi and Lui Sha is accepted Design Automation Conference (DAC 2015)*. This research is… Continue Reading →
We’ve started a two month-long pilot project with Doosan Heavy Industry and Construction (world-leading power plant builder). This is our first industrial research collaboration.
Janghoon Ju and Subin Lee (the first female PAI-Lab member) join our lab as an undergraduate intern! (January 2015)
New Learning Compressive Sensing models! Paper, Learning Compressive Sensing Models for Big Spatio-Temporal Data by Dongeun Lee and Jaesik Choi is accepted at 2015 SIAM International Conference on Data Mining (SDM 2015). (December 2014)
The first paper (in the literature) on learning parameters in relational continuous probabilistic models! Paper, “Learning Relational Kalman Filtering” by Jaesik Choi, Eyal Amir, Tianfan Xu and Albert Valocchi is accepted at AAAI-2015 Conference. (November 2014)
A face detection algorithm robust on signal noises.Paper, “Semi-Local Structure Patterns for Robust Face Detection” by Kyungjoong Jeong, Jaesik Choiand Gil-Jin Jang is accepted IEEE Signal Processing Letters. (November 2014)
