Calendar

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Dissertation Defense: Luoluo Liu 4:00 pm
Dissertation Defense: Luoluo Liu @ Shaffer 202
Oct 7 @ 4:00 pm – 6:00 pm
Dissertation Defense: Luoluo Liu @ Shaffer 202
Title: Collaborative Regression and Classification via Bootstrapping Abstract: In modern machine learning problems and applications, the data that we are dealing with have large dimensions as well as amount, making data analysis time-consuming and computationally[...]
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Dissertation Defense: Jeff Glaister 9:00 am
Dissertation Defense: Jeff Glaister @ Shaffer 302
Oct 9 @ 9:00 am – 11:00 am
Dissertation Defense: Jeff Glaister @ Shaffer 302
Title: Brain structure segmentation using multiple MRI pulse sequences Abstract: Medical image segmentation is the process of delineating anatomical structures of interest in images. Automatic segmentation algorithms applied to brain magnetic resonance images (MRI) allow for[...]
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Dissertation Defense: Jaewook Shin 1:00 pm
Dissertation Defense: Jaewook Shin @ Malone 228
Oct 10 @ 1:00 pm – 2:30 pm
Dissertation Defense: Jaewook Shin @ Malone 228
Title: Minimally-Invasive Lens-free Computational Microendoscopy Abstract: Ultra-miniaturized imaging tools are vital for numerous biomedical applications. Such minimally invasive imagers allow for navigation into hard-toreach regions and, for example, observation of deep brain activity in freely moving animals[...]
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Dissertation Defense: Vimal Manohar 10:00 am
Dissertation Defense: Vimal Manohar @ Shaffer 302
Oct 14 @ 10:00 am – 11:30 am
Dissertation Defense: Vimal Manohar @ Shaffer 302
Title: Semi-supervised training for automatic speech recognition. Abstract: State-of-the-art automatic speech recognition (ASR) systems use sequence-level objectives like Connectionist Temporal Classification (CTC) and Lattice-free Maximum Mutual Information (LF-MMI) for training neural network-based acoustic models. These[...]
Dissertation Defense: Xiaohui Zhang 3:15 pm
Dissertation Defense: Xiaohui Zhang @ Shaffer 301
Oct 14 @ 3:15 pm – 4:45 pm
Dissertation Defense: Xiaohui Zhang @ Shaffer 301
Title: Strategies for Handling Out-of-Vocabulary Words in  Automatic Speech Recognition Abstract: Nowadays, most ASR (automatic speech recognition) systems deployed in industry are closed-vocabulary systems, meaning we have a limited vocabulary of words the system can recognize,[...]
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