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Traditionally, analytical methods have been used to solve imaging problems such as image restoration, inpainting, and superresolution (SR). In recent years, the fields of machine and deep learning have gained a lot of momentum in solving such imaging problems, often surpassing the performance provided by analytical approaches.
Semantic segmentation is the task of labeling every pixel in an image with a predefined object category. It has numerous applications in scenarios where the detailed understanding of an image is required, such as in autonomous vehicles and medical diagnosis. This problem has traditionally been solved with probabilistic models known as conditional random fields (CRFs) due to their ability to model the relationships between the pixels being predicted.
Daniela Oliveira (UFL), Jeremy Epstein (NSF), and Anderson Rocha (UNICAMP, Brazil) are Guest Editors to the Special Issue on Security and Privacy Research in Brazil for the IEEE Security & Privacy Magazine’s November/December 2018 issue.
The updated deadline is 11 March 2018
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
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.
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.
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The IEEE Signal Processing Society is dedicated to supporting the professional growth and career advancement of its members in the dynamic field of signal processing. Learn More
Signal processing education and professional development program for all career levels. Learn more.