Content Gazette - January 2018 - 22

DECEMBER 2017

VOLUME 24

NUMBER 12

ISPLEM

(ISSN 1070-9908)

LETTERS

FoodNet: Recognizing Foods Using Ensemble of Deep Networks http://dx.doi.org/10.1109/LSP.2017.2758862 . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . P. Pandey, A. Deepthi, B. Mandal, and N. B. Puhan
SAR Image Despeckling Using a Convolutional Neural Network http://dx.doi.org/10.1109/LSP.2017.2758203 . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . P. Wang, H. Zhang, and V. M. Patel
Layered Multitask Tracker via Spatial-Temporal Laplacian Graph http://dx.doi.org/10.1109/LSP.2017.2756998 . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . B. Fan, X. Li, and Y. Cong
Sequential Closed-Form Semiblind Receiver for Space-Time Coded Multihop Relaying Systems
http://dx.doi.org/10.1109/LSP.2017.2756846 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . W. da C. Freitas, G. Favier, and A. L. F. de Almeida
Frequency-Domain Adaptive Kalman Filter With Fast Recovery of Abrupt Echo-Path Changes http://dx.doi.org/10.1109/LSP.2017.2718564
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . F. Yang, G. Enzner, and J. Yang
Noise Suppression by Minima Controlled Recursive Averaging for SSVEP-Based BCIs With Single Channel
http://dx.doi.org/10.1109/LSP.2017.2761193 . . . . . . . . . . . . . . . . . . . . . . . . . C.-C. Lee, C.-C. Chuang, C.-H. Yeng, Y.-J. Chen, and B.-S. Lin
Look Wider to Match Image Patches With Convolutional Neural Networks http://dx.doi.org/10.1109/LSP.2016.2637355 . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . H. Park and K. M. Lee
Subspace Clustering via Optimal Direction Search http://dx.doi.org/10.1109/LSP.2017.2757901 . . . . . . . . . . . . M. Rahmani and G. K. Atia
Efficient Computation of MSE Lower Bounds via Matching Pursuit http://dx.doi.org/10.1109/LSP.2017.2759232 . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S. S. Shalom and J. Tabrikian
SuperCut: Superpixel Based Foreground Extraction With Loose Bounding Boxes in One Cutting
http://dx.doi.org/10.1109/LSP.2017.2761393 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S. Wu, M. Nakao, and T. Matsuda
DeepPore: Fingerprint Pore Extraction Using Deep Convolutional Neural Networks http://dx.doi.org/10.1109/LSP.2017.2761454 . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . H.-U. Jang, D. Kim, S.-M. Mun, S. Choi, and H.-K. Lee
Asymptotically Efficient Identification of Known-Sensor Hidden Markov Models http://dx.doi.org/10.1109/LSP.2017.2759902 . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . R. Mattila, C. R. Rojas, V. Krishnamurthy, and B. Wahlberg
Frequency Shift Chirp Modulation: The LoRa Modulation http://dx.doi.org/10.1109/LSP.2017.2762960 . . . . . . . . . . . . . . . . . . L. Vangelista
Class-Aware Analysis Dictionary Learning for Pattern Classification http://dx.doi.org/10.1109/LSP.2017.2734860 . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. Wang, Y. Guo, J. Guo, X. Luo, and X. Kong
Proximity Operator of a Sum of Functions; Application to Depth Map Estimation http://dx.doi.org/10.1109/LSP.2017.2752261 . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . N. Pustelnik and L. Condat
Kernel Recursive Generalized Maximum Correntropy http://dx.doi.org/10.1109/LSP.2017.2761886 . . . . . . . . . . . . . . J. Zhao and H. Zhang
DNN-Based Feature Extraction for Conflict Intensity Estimation From Speech http://dx.doi.org/10.1109/LSP.2017.2736008 . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . G. Gosztolya and L. T´oth
Relay-Aided NOMA in Uplink Cellular Networks http://dx.doi.org/10.1109/LSP.2017.2755049 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . W. Shin, H. Yang, M. Vaezi, J. Lee, and H. V. Poor

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Table of Contents for the Digital Edition of Content Gazette - January 2018
