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Neural Processing Letters

Ausgabe 1/2019

Inhalt (51 Artikel)

LocalBoost: A Parallelizable Approach to Boosting Classifiers

Carlos Valle, Ricardo Ñanculef, Héctor Allende, Claudio Moraga

Open Access

Image Captioning with Bidirectional Semantic Attention-Based Guiding of Long Short-Term Memory

Pengfei Cao, Zhongyi Yang, Liang Sun, Yanchun Liang, Mary Qu Yang, Renchu Guan

Piecewise Polynomial Activation Functions for Feedforward Neural Networks

Ezequiel López-Rubio, Francisco Ortega-Zamorano, Enrique Domínguez, José Muñoz-Pérez

A Primal Framework for Indefinite Kernel Learning

Hui Xue, Lin Wang, Songcan Chen, Yunyun Wang

Graph Regularized Sparse Autoencoders with Nonnegativity Constraints

Yueyang Teng, Yichao Liu, Jinliang Yang, Chen Li, Shouliang Qi, Yan Kang, Fenglei Fan, Ge Wang

Multi-object Tracking by Joint Detection and Identification Learning

Bo Ke, Huicheng Zheng, Lvran Chen, Zhiwei Yan, Ye Li

Improved GNN Models for Constant Matrix Inversion

Predrag S. Stanimirović, Marko D. Petković

Finite-Time Stability for Caputo–Katugampola Fractional-Order Time-Delayed Neural Networks

Assaad Jmal, Abdellatif Ben Makhlouf, A. M. Nagy, Omar Naifar

Fuzzy One-Class Extreme Auto-encoder

Hualong Yu, Dan Sun, Xiaoyan Xi, Xibei Yang, Shang Zheng, Qi Wang

Application of Strong Arcs in m-Polar Fuzzy Graphs

Sonia Mandal, Sankar Sahoo, Ganesh Ghorai, Madhumangal Pal

From Night to Day: GANs Based Low Quality Image Enhancement

Yingying Meng, Deqiang Kong, Zhenfeng Zhu, Yao Zhao

On Incremental Learning for Gradient Boosting Decision Trees

Chongsheng Zhang, Yuan Zhang, Xianjin Shi, George Almpanidis, Gaojuan Fan, Xiajiong Shen

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