Technical Program
MLSP-L2: Learning Theory |
Session Type: Lecture |
Time: Wednesday, March 23, 13:30 - 15:30 |
Location: Room 3C+3D |
Session Chair: Li Deng, Microsoft |
MLSP-L2.1: DEEP UNFOLDING INFERENCE FOR SUPERVISED TOPIC MODEL |
Chao-Hsi Lee; National Chiao Tung University |
Jen-Tzung Chien; National Chiao Tung University |
MLSP-L2.2: SIMPLIFYING LONG SHORT-TERM MEMORY ACOUSTIC MODELS FOR FAST TRAINING AND DECODING |
Yajie Miao; Carnegie Mellon University |
Jinyu Li; Microsoft Corporation |
Yongqiang Wang; Microsoft Corporation |
Shi-Xiong Zhang; Microsoft Corporation |
Yifan Gong; Microsoft Corporation |
MLSP-L2.3: ONLINE LEARNING AND OPTIMIZATION OF MARKOV JUMP LINEAR MODELS |
Sevi Baltaoglu; Cornell University |
Lang Tong; Cornell University |
Qing Zhao; Cornell University |
MLSP-L2.4: CONSENSUS INFERENCE ON MOBILE PHONE SENSORS FOR ACTIVITY RECOGNITION |
Huan Song; Arizona State University |
Jayaraman J. Thiagarajan; Lawrence Livermore National Laboratory |
Karthikeyan Natesan Ramamurthy; IBM Thomas J. Watson Research Center |
Andreas Spanias; Arizona State University |
Pavan Turaga; Arizona State University |
MLSP-L2.5: OBJECT RECOGNITION IN ART DRAWINGS: TRANSFER OF A NEURAL NETWORK |
Rujie Yin; Duke University |
Eric Monson; Duke University |
Elizabeth Honig; University of California, Berkeley |
Ingrid Daubechies; Duke University |
Mauro Maggioni; Duke University |
MLSP-L2.6: DEEP COMPLEMENTARY BOTTLENECK FEATURES FOR VISUAL SPEECH RECOGNITION |
Stavros Petridis; Imperial College London |
Maja Pantic; Imperial College London |