Learning Topologies with the Growing Neural Forest

Identifying connected components in Gaussian finite mixture models for clustering

(2016) Luca Scrucca   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Features for stochastic approximation based foreground detection

(2015) Francisco Javier López-Rubio et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

Discovering Data Set Nature through Algorithmic Clustering Based on String Compression

(2015) Ana Granados et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Local color transformation analysis for sudden illumination change detection

(2015) Francisco Javier López-Rubio et al.   IMAGE AND VISION COMPUTING

Large-scale spectral clustering based on pairwise constraints

(2015) T. Semertzidis et al.   INFORMATION PROCESSING & MANAGEMENT

Recovering the number of clusters in data sets with noise features using feature rescaling factors

(2015) Renato Cordeiro de Amorim et al.   INFORMATION SCIENCES

Probabilistic Clustering of the Human Connectome Identifies Communities and Hubs

(2015) Max Hinne et al.   PLoS One

Partitioning Biological Networks into Highly Connected Clusters with Maximum Edge Coverage

(2014) Falk Huffner et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

BREGMAN DIVERGENCES FOR GROWING HIERARCHICAL SELF-ORGANIZING NETWORKS

(2014) EZEQUIEL LÓPEZ-RUBIO et al.   International Journal of Neural Systems

STRUCTURALLY ENHANCED INCREMENTAL NEURAL LEARNING FOR IMAGE CLASSIFICATION WITH SUBGRAPH EXTRACTION

(2014) YU-BIN YANG et al.   International Journal of Neural Systems

MULTI-INSTANCE DICTIONARY LEARNING FOR DETECTING ABNORMAL EVENTS IN SURVEILLANCE VIDEOS

(2014) JING HUO et al.   International Journal of Neural Systems

A NEURAL OBSERVER WITH TIME-VARYING LEARNING RATE: ANALYSIS AND APPLICATIONS

(2013) K. J. GURUBEL et al.   International Journal of Neural Systems

Self-organizing maps whose topologies can be learned with adaptive binary search trees using conditional rotations

(2013) César A. Astudillo et al.   PATTERN RECOGNITION

An advancement in clustering via nonparametric density estimation

(2013) Giovanna Menardi et al.   STATISTICS AND COMPUTING

UNSUPERVISED MARKERLESS 3-DOF MOTION TRACKING IN REAL TIME USING A SINGLE LOW-BUDGET CAMERA

(2012) LUIS QUESADA et al.   International Journal of Neural Systems

Essentials of the self-organizing map

(2012) Teuvo Kohonen   NEURAL NETWORKS

Image Compression and Video Segmentation Using Hierarchical Self-Organization

(2012) Esteban J. Palomo et al.   NEURAL PROCESSING LETTERS

A polythetic clustering process and cluster validity indexes for histogram-valued objects

(2011) Jaejik Kim et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Growing Hierarchical Probabilistic Self-Organizing Graphs

(2011) E. Lopez-Rubio et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

FOREGROUND DETECTION IN VIDEO SEQUENCES WITH PROBABILISTIC SELF-ORGANIZING MAPS

(2011) EZEQUIEL LÓPEZ-RUBIO et al.   International Journal of Neural Systems

Dynamic topology learning with the probabilistic self-organizing graph

(2011) Ezequiel López-Rubio et al.   NEUROCOMPUTING

SPIKING NEURAL NETWORKS

(2009) SAMANWOY GHOSH-DASTIDAR et al.   International Journal of Neural Systems

A fuzzy spatial coherence-based approach to background/foreground separation for moving object detection

(2009) Lucia Maddalena et al.   NEURAL COMPUTING & APPLICATIONS

A new supervised learning algorithm for multiple spiking neural networks with application in epilepsy and seizure detection

(2009) Samanwoy Ghosh-Dastidar et al.   NEURAL NETWORKS