Ausgabe 2/2018
Special Issue: Off the Mainstream
Inhalt (32 Artikel)
Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition
Edmondo Trentin, Friedhelm Schwenker, Neamat El Gayar, Hazem M. Abbas
Multilayer Graph Node Kernels: Stacking While Maintaining Convexity
Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita
Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces
Benjamin Paaßen, Christina Göpfert, Barbara Hammer
On the Impact of Using Utilities Rather than Costs for Graph Matching
Kaspar Riesen, Andreas Fischer, Horst Bunke
A Temporal Dependency Based Multi-modal Active Learning Approach for Audiovisual Event Detection
Patrick Thiam, Sascha Meudt, Günther Palm, Friedhelm Schwenker
Dynamic Hybrid Random Fields for the Probabilistic Graphical Modeling of Sequential Data: Definitions, Algorithms, and an Application to Bioinformatics
Marco Bongini, Antonino Freno, Vincenzo Laveglia, Edmondo Trentin
Neural Networks Pipeline for Offline Machine Printed Arabic OCR
Mohamed A. Radwan, Mahmoud I. Khalil, Hazem M. Abbas
Time Series Classification in Reservoir- and Model-Space
Witali Aswolinskiy, René Felix Reinhart, Jochen Steil
Theoretical Foundations for the Alpha-Beta Associative Memories: 10 Years of Derived Extensions, Models, and Applications
Cornelio Yáñez-Márquez, Itzamá López-Yáñez, Mario Aldape-Pérez, Oscar Camacho-Nieto, Amadeo José Argüelles-Cruz, Yenny Villuendas-Rey
On the Weighted Pseudo-Almost Periodic Solution for BAM Networks with Delays
Boudour Ammar, Hajer Brahmi, Farouk Chérif
The Influence of Multi-class Feature Selection on the Prediction of Diagnostic Phenotypes
Ludwig Lausser, Robin Szekely, Lyn-Rouven Schirra, Hans A. Kestler
Ultra-Sparse Classifiers Through Minimizing the VC Dimension in the Empirical Feature Space
Jayadeva, Mayank Sharma, Sumit Soman, Himanshu Pant
A New Conjugate Gradient Method with Smoothing Regularization Based on a Modified Secant Equation for Training Neural Networks
Wenyu Li, Yan Liu, Jie Yang, Wei Wu
Robust Exponential Synchronization for Stochastic Delayed Neural Networks with Reaction–Diffusion Terms and Markovian Jumping Parameters
Tengda Wei, Yangfan Wang, Linshan Wang
Global Asymptotic Periodic Synchronization for Delayed Complex-Valued BAM Neural Networks via Vector-Valued Inequality Techniques
Zhengqiu Zhang, Ailing Li, Lin Yang
Approximate Solutions of Initial Value Problems for Ordinary Differential Equations Using Radial Basis Function Networks
Fatma B. Rizaner, Ahmet Rizaner
Exploring Implicit Semantic Constraints for Bilingual Word Embeddings
Jinsong Su, Zhenqiao Song, Yaojie Lu, Mu Xu, Changxing Wu, Yidong Chen
An Empirical Study for Transboundary Pollution of Three Gorges Reservoir Area with Emission Permits Trading
Zuliang Lu, Yuming Feng, Shuhua Zhang, Lin Li, Longzhou Cao
Developmental Network: An Internal Emergent Object Feature Learning
Dongshu Wang, Junhao Wang, Lei Liu
Fixed-Time Synchronization of Coupled Discontinuous Neural Networks with Nonidentical Perturbations
Xusen Zhu, Xinsong Yang, Fuad E. Alsaadi, Tasawar Hayat
Adaptive Finite-Time Synchronization of Neutral Type Dynamical Network with Double Derivative Coupling
Yuhua Xu, Wuneng Zhou, Hongqian Lu, Chengrong Xie, Dongbing Tong
A Novel Least Square Twin Support Vector Regression
Zhiqiang Zhang, Tongling Lv, Hui Wang, Liming Liu, Junyan Tan
Pseudo Almost Periodic Solutions for Fuzzy Cellular Neural Networks with Multi-proportional Delays
Jiaxin Liang, Hao Qian, Bingwen Liu
Domain Adaptation with Twin Support Vector Machines
Xijiong Xie, Shiliang Sun, Huahui Chen, Jiangbo Qian
Image Segmentation via Mean Curvature Regularized Mumford-Shah Model and Thresholding
Qianting Ma, Jialin Peng, Dexing Kong