Tao Zhang (Starkey Hearing Technologies, USA)
Lecture Date: August 5, 2019
Chapter: Tokyo
Chapter Chair: Kazuya Takeda
Topic: Intelligent ear-level devices for hearing
enhancement and health and wellness monitoring
Tao Zhang (Starkey Hearing Technologies, USA)
Lecture Date: August 12, 2019
Chapter: Beijing
Chapter Chair: Qiuqi Ruan
Topic: Tackling the ultimate cocktail party problem
using joint auditory attention decoding and beamforming
Flexible Array Response Control via Oblique Projection
This paper presents a flexible array response control algorithm via oblique projection, abbreviated as FARCOP, and its application to array pattern synthesis. The proposed FARCOP algorithm stems from the adaptive array theory, and it can flexibly, precisely and simultaneously adjust the array response levels at multiple angles based on an arbitrarily given weight vector.
Data Shuffling in Wireless Distributed Computing via Low-Rank Optimization
Intelligent mobile platforms such as smart vehicles and drones have recently become the focus of attention for onboard deployment of machine learning mechanisms to enable low latency decisions with low risk of privacy breach.
Trainable ISTA for Sparse Signal Recovery
In this paper, we propose a novel sparse signal recovery algorithm called the trainable iterative soft thresholding algorithm (TISTA). The proposed algorithm consists of two estimation units: a linear estimation unit and a minimum mean squared error (MMSE) estimator based shrinkage unit.
Optimal Bayesian Classification With Vector Autoregressive Data Dependency
In classification theory, it is generally assumed that the data are independent and identically distributed. However, in many practical applications, we face a set of observations that are collected sequentially with a dependence structure among samples.
PhD Position in Medical Image Analysis
PhD Position : Image Analysis of dynamic MRI data to study musculoskeletal disorders
Lab
Research at IMT Atlantique involves nearly 800 people, including 290 teachers and researchers and 300 PhD students, and is on digital technology, energy and environment. It covers all disciplines (from the physical sciences to humanities and social sciences through those of information and knowledge) and covers all fields of science and information and communications technology.
What Should We Learn? Cognitive Computation and Systems
The importance of developing cognitive computation and cognitive systems has long been of interest. This research field is now rapidly expanding with the current influx of artificial intelligence innovations. Nowadays, machine learning solutions are dramatically transforming the lives of humans and are having a profound impact on a wide range of disciplines and industries. However, machine learning is not omnipotent, especially under the circumstance of cognitive systems operating in open and dynamic environments.
What Should We Learn? Uncertain Multicriteria Decision Making Using Evolutionary Algorithms
Uncertain multicriteria decision making is to select or rank objects based on the evaluation done by the decisionmaker on several criteria under uncertainty. Uncertain multicriteria decision making has been proved as a useful means in diverse fields such as management, finance, economics, education, environmental protection, medicine, engineering, and so on. Due to numerous successful applications, it becomes more and more prevailing.
