Search results

Section: Events

Lecture Date: July 9, 2018 Chapter: Singapore Chapter Chair: Hong Cao Topic: (1) Unconstrained Face Analytics (2) Domain Adaptation using Manifolds, Dictionaries and Deep Features

Institute of Electronics and Computer Science (EDI), which is the best performing institute in Latvia in the field of Engineering and Computer Science, announces the opening of the competition for preliminary selection of postdoctoral applications for submission to the State Education Development Agency (SEDA) under the Activity 1.1.1.2 “Post-doctoral Research Aid” of the Specific Aid Objective 1.1.1 “To increase the research and innovative capacity of scientific institutions of Latvia and the ability to attract external financing, investing in human resources and infrastructure” of the Ope

Issue Date: March, 2018

Section: Community & Involvement

IEEE International Workshop on Information Forensics and Security (WIFS) is a unique annual event which is technically co-sponsored by the IEEE Biometrics Council and IEEE Signal Processing Society. The 2018 edition of this workshop will be held in Hong Kong. WIFS is the unique workshop series organised by the IEEE Information Forensics and Security (IFS) Technical Committee of the IEEE Signal Processing Society.

Section: Community & Involvement

Follow @ieeeBISPThe Bio Image and Signal Processing (BISP) Technical Committee (TC) promotes activities within the broad technical field of biomedical image and signal processing.Areas of interest include:

Are you passionate about machine intelligence? Are you excited about deep learning and neural networks? We’re looking for someone to help us craft groundbreaking new features using the latest advances in computer vision, food recognition, and machine learning technology.

Section: Publications & Resources

Publication: IEEE Signal Processing Magazine

Industry involvement is a significant area of interest for the IEEE Signal Processing Society (SPS). It is also a frequent topic of conversation at the SPS Board of Governors meetings. According to the SPS’s website (https:// signalprocessingsociety.org), 42% of our 19,000 members are from industry. Yet the number of attendees from industry of our flagship conference, the IEEE International Conference on Acoustics, Speech, and Signal Processing, is much lower, based on my best estimate from the sessions I attended.

Section: Publications & Resources

Publication: IEEE Signal Processing Magazine

Many ask me what signal processing should be doing in the age of big data. My answer is clear: signal processing should continue to generate big ideas. Big ideas for big data. Our discipline has always advanced ingenious methods and theories, irrespective of the size of the data: small or big. Many of these ideas permeate disciplines far and wide, ranging from imaging to video; speech processing to coding and communications, forensics, security, and privacy; and also social media, machine learning, and data science.

Section: Publications & Resources

Publication: IEEE Signal Processing Magazine

In this column of IEEE Signal Processing Magazine, 39 IEEE Signal Processing Society (SPS) members are recognized as IEEE Fellows and award recipients are announced. 39 SPS members elevated to Fellow: Each year, the IEEE Board of Directors confers the grade of Fellow on up to one-tenth of 1% of the voting Members. To qualify for consideration, an individual must have been a Member, normally for five years or more, and a Senior Member at the time for nomination to Fellow. The grade of Fellow recognizes unusual distinction in IEEE’s designated fields. 

Section: Community & Involvement

Technical Committee Conferences The BISP TC reviews for the following conferences:

Post Doc position: Integrating Models of Vision, Knowledge and Language ======================================================================= (computer science, computational linguistics, physics or similar) Statistical models of natural language so far have only considered the preceding words as a context. We would now like to generalize this to include also knowledge from images or data bases. To this end, suitable neural network architectures will be explored and their properties analysed. Alternative machine learning based approaches will also be considered.