Search Results - "IEEE signal processing letters"

Additive Margin Softmax for Face Verification by Wang, Feng, Cheng, Jian, Liu, Weiyang, Liu, Haijun

“…In this letter, we propose a conceptually simple and intuitive learning objective function, i.e., additive margin softmax, for face verification. In general,…”
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Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks by Zhang, Kaipeng, Zhang, Zhanpeng, Li, Zhifeng, Qiao, Yu

“…Face detection and alignment in unconstrained environment are challenging due to various poses, illuminations, and occlusions. Recent studies show that deep…”
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Compressed Channel Estimation for Intelligent Reflecting Surface-Assisted Millimeter Wave Systems by Wang, Peilan, Fang, Jun, Duan, Huiping, Li, Hongbin

“…In this letter, we consider channel estimation for intelligent reflecting surface (IRS)-assisted millimeter wave (mmWave) systems, where an IRS is deployed to…”
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Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification by Salamon, Justin, Bello, Juan Pablo

“…The ability of deep convolutional neural networks (CNNs) to learn discriminative spectro-temporal patterns makes them well suited to environmental sound…”
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3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition by Chen, Mingyi, He, Xuanji, Yang, Jing, Zhang, Han

“…Speech emotion recognition (SER) is a difficult task due to the complexity of emotions. The SER performances are heavily dependent on the effectiveness of…”
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Image Fusion With Convolutional Sparse Representation by Liu, Yu, Chen, Xun, Ward, Rabab K., Jane Wang, Z.

“…As a popular signal modeling technique, sparse representation (SR) has achieved great success in image fusion over the last few years with a number of…”
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On the Performance of Non-Orthogonal Multiple Access in 5G Systems with Randomly Deployed Users by Ding, Zhiguo, Yang, Zheng, Fan, Pingzhi, Poor, H. Vincent

“…The performance of non-orthogonal multiple access (NOMA) is investigated in a cellular downlink scenario with randomly deployed users. The developed analytical…”
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Emerging From Water: Underwater Image Color Correction Based on Weakly Supervised Color Transfer by Li, Chongyi, Guo, Jichang, Guo, Chunle

“…Underwater vision suffers from severe effects due to selective attenuation and scattering when light propagates through water. Such degradation not only…”
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Deep Coupled ResNet for Low-Resolution Face Recognition by Ze Lu, Xudong Jiang, Kot, Alex

“…Face images captured by surveillance cameras are often of low resolution (LR), which adversely affects the performance of their matching with high-resolution…”
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Medical Image Fusion via Convolutional Sparsity Based Morphological Component Analysis by Liu, Yu, Chen, Xun, Ward, Rabab K., Wang, Z. Jane

“…In this letter, a sparse representation (SR) model named convolutional sparsity based morphological component analysis (CS-MCA) is introduced for pixel-level…”
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Fairness for Non-Orthogonal Multiple Access in 5G Systems by Timotheou, Stelios, Krikidis, Ioannis

“…In non-orthogonal multiple access (NOMA) downlink, multiple data flows are superimposed in the power domain and user decoding is based on successive…”
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Structural Design of Convolutional Neural Networks for Steganalysis by Xu, Guanshuo, Wu, Han-Zhou, Shi, Yun-Qing

“…Recent studies have indicated that the architectures of convolutional neural networks (CNNs) tailored for computer vision may not be best suited to image…”
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Optimal Adaptive Filtering Algorithm by Using the Fractional-Order Derivative by Zhang, Xiao, Ding, Feng

“…The previous work for the filter design considers uncorrelated white measurement noise disturbance. For more complex correlated noise disturbance, the…”
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SAR Image Despeckling Using a Convolutional Neural Network by Puyang Wang, He Zhang, Patel, Vishal M.

“…Synthetic aperture radar (SAR) images are often contaminated by a multiplicative noise known as speckle. Speckle makes the processing and interpretation of SAR…”
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One-Class Learning Towards Synthetic Voice Spoofing Detection by Zhang, You, Jiang, Fei, Duan, Zhiyao

“…Human voices can be used to authenticate the identity of the speaker, but the automatic speaker verification (ASV) systems are vulnerable to voice spoofing…”
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Dispersion Entropy: A Measure for Time-Series Analysis by Rostaghi, Mostafa, Azami, Hamed

“…One of the most powerful tools to assess the dynamical characteristics of time series is entropy. Sample entropy (SE), though powerful, is not fast enough,…”
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Making a "Completely Blind" Image Quality Analyzer by Mittal, A., Soundararajan, R., Bovik, A. C.

“…An important aim of research on the blind image quality assessment (IQA) problem is to devise perceptual models that can predict the quality of distorted…”
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Frequency Shift Chirp Modulation: The LoRa Modulation by Vangelista, Lorenzo

“…Low power wide area networks (LPWAN) are emerging as a new paradigm, especially in the field of Internet of Things (IoT) connectivity. LoRa is one of the LPWAN…”
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MS-CapsNet: A Novel Multi-Scale Capsule Network by Xiang, Canqun, Zhang, Lu, Tang, Yi, Zou, Wenbin, Xu, Chen

“…Capsule network is a novel architecture to encode the properties and spatial relationships of the feature in an image, which shows encouraging results on image…”
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On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression by Qi, Jun, Du, Jun, Siniscalchi, Sabato Marco, Ma, Xiaoli, Lee, Chin-Hui

“…In this paper, we exploit the properties of mean absolute error (MAE) as a loss function for the deep neural network (DNN) based vector-to-vector regression…”
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