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The Latest News, Articles, and Events in Signal Processing
During the Christmas break, I had a mundane problem to solve. Most PCs today no longer come with disk drives. This was problematic for me since, like for many of you, my family videos are stored on CDs and DVDs.
Please be sure to close out your 2018 meetings in order to qualify for your Chapter rebate. The deadline for submitting annual financial reports is the last day of February, and the deadline for annual officer and meeting reports is 15 March.
Please visit the Conferences and Events page on the IEEE Signal Processing Society website for Upcoming Lectures by Distinguished Lecturers.
Lecture Date: April 25-26, 2019
Chapter: Dallas
Chapter Chair: Issa Panahi
Topic: Robust and Practical Approaches to the
Cocktail Party Problem for Hearing Devices
Submission Deadline: March 25, 2019
Call for Proposals Document
May 20-24, 2019
Registration Deadline: April 30, 2019
Location: Lecce, Italy
Website
July 14-31, 2019
Registration Deadline: May 5, 2019
Location: Xi’an, China
Website
Are you looking to energize signal processing students, early stage researchers, and industry practitioners in your area? Consider hosting a Seasonal School for young engineers near you!
Submission Deadline: May 3, 2019
Call for Proposals Document
Title: Machine Learning/Speech research internship @ Seattle, WA
Time: Summer/Fall 2019
About You
A wiliness to be a better you on a day by day basis.
About Us:
We enable hundreds of millions of commercial and social interactions among our users, between consumers and merchants, and among businesses every day though speech.
What You’ll Do
Postdoctoral Research Grant (BPD) for the R&D Integrated Program “C4 – Centro de Competências em Cloud Computing”
Reference: “C4_MP_D1-b (En)”
A novel scheme of edge detection based on the physical law of diffusion is presented in this paper. Though the most current studies are using data based methods such as deep neural networks, these methods on machine learning need big data of labeled ground truth as well as a large amount of resources for training.
Retrieving specific persons with various types of queries, e.g., a set of attributes or a portrait photo has great application potential in large-scale intelligent surveillance systems. In this paper, we propose a richly annotated pedestrian (RAP) dataset which serves as a unified benchmark for both attribute-based and image-based person retrieval in real surveillance scenarios.
Image annotation aims to annotate a given image with a variable number of class labels corresponding to diverse visual concepts. In this paper, we address two main issues in large-scale image annotation: 1) how to learn a rich feature representation suitable for predicting a diverse set of visual concepts ranging from object, scene to abstract concept and 2) how to annotate an image with the optimal number of class labels.
Zero-shot learning (ZSL) for visual recognition aims to accurately recognize the objects of unseen classes through mapping the visual feature to an embedding space spanned by class semantic information. However, the semantic gap across visual features and their underlying semantics is still a big obstacle in ZSL. Conventional ZSL methods construct that the mapping typically focus on the original visual features that are independent of the ZSL tasks, thus degrading the prediction performance.
The IEEE Transactions on Image Processing covers novel theory, algorithms, and architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals in a wide variety of applications.
White Paper Due: June 1, 2019
Publication Date: July 2020
CFP Document
Lecture Date: April 2, 2019
Chapter: SPS Western Australia Chapter
Chapter Chair: Sven Nordholm
Topic: Hyperspectral Unmixing: Insights and Beyond
November 18-21, 2019
Location: Lanzhou, China
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- Join NASA’s Dr. Jacqueline Le Moigne for this interactive webinar as she shares her journey through the realms of signal processing, computer vision, and related technologies, including her pivotal roles at NASA. https://x.com/IEEEsps/status/1782468413551423536
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