IEEE Signal Processing Magazine
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
Table of contents
- 1
-
Table of Contents| 2017
- 1
-
2017 Index IEEE Signal Processing Magazine Vol. 34| 2017
- 2
-
Staff Listing| 2017
- 4
-
Signals and Signal Processing: The Invisibles and the Everlastings [From the Editor]Min Wu, et al. | 2017
- 5
-
Signal Processing Is More than Its Beloved Name [President's Message]Ward, Rabab et al. | 2017
- 8
-
Challenges and Open Problems in Signal Processing: Panel Discussion Summary from ICASSP 2017 [Panel and Forum]Eldar, Yonina C. / Hero, Alfred O. / Li Deng, et al. | 2017
- 14
-
What Is the Future of Signal Processing?: Views Across Our Community [Community Voices]Kwasinski, Andres / Min Wu, et al. | 2017
- 17
-
Medical optical imaging: Signal processing leads to new methods of detecting life-threatening situations [Special Reports]Edwards, John et al. | 2017
- 21
-
Top Downloads in IEEE Xplore [Reader's Choice]Changshui Zhang, et al. | 2017
- 24
-
Deep Learning for Visual Understanding [From the Guest Editors]Porikli, Fatih / Shiguang Shan, / Snoek, Cees et al. | 2017
- 26
-
Deep Reinforcement Learning: A Brief SurveyArulkumaran, Kai / Deisenroth, Marc Peter / Brundage, Miles et al. | 2017
- 39
-
Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation: Understanding Semantic Layout of Images with Minimum Human SupervisionSeunghoon Hong, / Suha Kwak, / Bohyung Han, et al. | 2017
- 50
-
The Robustness of Deep Networks: A Geometrical PerspectiveFawzi, Alhussein / Moosavi-Dezfooli, Seyed-Mohsen / Frossard, Pascal et al. | 2017
- 63
-
Visual Question Answering: A TutorialTeney, Damien / Qi Wu, / van den Hengel, Anton et al. | 2017
- 76
-
Deep Metric Learning for Visual Understanding: An Overview of Recent AdvancesJiwen Lu, / Junlin Hu, / Jie Zhou, et al. | 2017
- 85
-
Convolutional Neural Networks for Inverse Problems in Imaging: A ReviewMcCann, Michael T. / Kyong Hwan Jin, / Unser, Michael et al. | 2017
- 96
-
Deep Multimodal Learning: A Survey on Recent Advances and TrendsRamachandram, Dhanesh / Taylor, Graham W. et al. | 2017
- 109
-
Deep Learning for Image-to-Text Generation: A Technical OverviewXiaodong He, / Li Deng, et al. | 2017
- 117
-
Deep-Learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature RepresentationsVenkateswara, Hemanth / Chakraborty, Shayok / Panchanathan, Sethuraman et al. | 2017
- 130
-
Deep Convolutional Neural Models for Picture-Quality Prediction: Challenges and Solutions to Data-Driven Image Quality AssessmentJongyoo Kim, / Hui Zeng, / Ghadiyaram, Deepti et al. | 2017
- 142
-
Performance Bounds for Parameter Estimation under Misspecified Models: Fundamental Findings and ApplicationsFortunati, Stefano / Gini, Fulvio / Greco, Maria S. et al. | 2017
- 158
-
The Mystery Curve: A Signal Processing Point of View [Lecture Notes]Soo-Chang Pei, / Kuo-Wei Chang, et al. | 2017
- 164
-
Fast- and Low-Complexity atan2(a,b) Approximation [Tips and Tricks]Torres, Vicente / Valls, Javier / Lyons, Richard et al. | 2017
- 170
-
Calendar [Dates Ahead]| 2017
- 175
-
IEEE SIGNAL PROCESSING CUP 2018David, Mark et al. | 2017
- 176
-
To the Victor Go the Spoils: AI in Financial Markets [Perspectives]Xiao-Ping Zhang, et al. | 2017
- C1
-
Front Cover| 2017
- C2
-
ICIP 2018| 2017