<< Wednesday, May 08, 2019 >>

Wednesday, May 8, 2019

Dissertation Talk: Learning to Predict Human Behavior from Video

Seminar: Dissertation Talk: EE | May 8 | 12-1 p.m. | 337A Cory Hall

 College of Engineering

In recent times, the field of computer vision has made great progress with recognizing and tracking people and their activities in videos. However, for systems designed to interact dynamically with humans, tracking and recognition are insufficient; the ability to predict behavior is requisite. In this talk, I will present my work on learning to make predictions from visual input. Using team...   More >

Dissertation Talk: Coded Illumination for Multidimensional Quantitative Phase Microscopy

Seminar: Dissertation Talk: EE | May 8 | 12:30-1:30 p.m. | Soda Hall, Visual Computing Lab (VCL)

 Michael Chen, UC Berkeley

 Electrical Engineering and Computer Sciences (EECS)

Imaging biological samples under optical microscopes is challenging, since the absorption is too weak to form images with informative contrast. Besides fluorescent imaging techniques, label-free phase contrast imaging methods have been proposed to greatly improve the contrast of transparent samples. In order to efficiently recover quantitative properties, such as 2D phase projection and 3D...   More >

Scientific Computing and Matrix Computations Seminar: A Backward Error Formula for the Global Least-Squares Problem

Seminar: Scientific Computing: CS | May 8 | 2-3 p.m. | 380 Soda Hall

 Eric Hallman, UCB

 Electrical Engineering and Computer Sciences (EECS)

In this talk we present formulas for the normwise backward error for the problems AX=B and min_X ||AX-B||_F, extending the results of Walden/Karlson/Sun (1998) and Sun/Sun (1997) to systems with multiple right hand sides. These formulas are valid for matrices of any dimension and rank. We also propose two estimates that numerical experiments suggest are highly reliable, one of which may be...   More >

Dissertation Talk: Realization of Integrated Coherent LiDAR

Seminar: Dissertation Talk: EE | May 8 | 4-5 p.m. | Cory Hall, 490H (Immersion Room in Swarm Lab)

 Taehwan Kim, UC Berkeley

 Electrical Engineering and Computer Sciences (EECS)

LiDAR (Light Detection and Ranging) captures high-definition real-time 3D images of the surrounding environment, which makes it a crucial sensing modality for applications such as self-driving cars. However, high price tag of existing commercial LiDAR modules based on mechanical beam scanners and intensity-based detection scheme prohibits them from being extensively applied to consumer products....   More >

Dissertation talk: Machine Learning---Why Do Simple Algorithms Work So Well?

Lecture: Dissertation Talk: CS | May 8 | 4-5 p.m. | 540AB Cory Hall

 Chi Jin

 Electrical Engineering and Computer Sciences (EECS)

While state-of-the-art machine learning models are deep, large-scale, sequential and highly nonconvex, the backbone of modern learning algorithms are simple algorithms such as stochastic gradient descent, or Q-learning (in the case of reinforcement learning tasks). A basic question endures---why do simple algorithms work so well even in these challenging settings?

This talk focuses on two...   More >