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IJON
2016
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8 years 1 months ago
Transition-Aware Human Activity Recognition Using Smartphones
This work presents the Transition-Aware Human Activity Recognition (TAHAR) system architecture for the recognition of physical activities using smartphones. It targets real-time c...
Jorge Luis Reyes-Ortiz, Luca Oneto, Albert Sam&agr...
IJON
2016
78views more  IJON 2016»
8 years 1 months ago
Describing and learning of related parts based on latent structural model in big data
In this paper, we propose a novel latent structural model for big data image recognition. It addresses the problem that large amount of labeled training samples are needed in trad...
Lei Liu, Xiao Bai 0001, Huigang Zhang, Jun Zhou, W...
IJON
2016
56views more  IJON 2016»
8 years 1 months ago
Pairwise clustering based on the mutual-information criterion
Pairwise clustering methods partition a dataset using pairwise similarity between data-points. The pairwise similarity matrix can be used to define a Markov random walk on the da...
Amir Alush, Avishay Friedman, Jacob Goldberger
IJON
2016
50views more  IJON 2016»
8 years 1 months ago
History-Driven Particle Swarm Optimization in dynamic and uncertain environments
Due to dynamic and uncertain nature of many optimization problems in real-world, an algorithm for applying to this environment must be able to track the changing optima over the t...
Babak Nasiri, Mohammad Reza Meybodi, Mohammad Mehd...
IJON
2016
54views more  IJON 2016»
8 years 1 months ago
An unsupervised discriminative extreme learning machine and its applications to data clustering
Extreme Learning Machine (ELM), which was initially proposed for training single-layer feed-forward networks (SLFNs), provides us a unified efficient and effective framework for...
Yong Peng, Wei-Long Zheng, Bao-Liang Lu
IJON
2016
35views more  IJON 2016»
8 years 1 months ago
An adaptive ensemble of on-line Extreme Learning Machines with variable forgetting factor for dynamic system prediction
A demand for predictive models for on-line estimation of variables is increasing in industry. As industrial processes are timevarying, on-line learning algorithms should be adapti...
Symone G. Soares, Rui Araújo
IJON
2016
50views more  IJON 2016»
8 years 1 months ago
A novel motion classification based intermode selection strategy for HEVC performance improvement
l Abstract A Novel Motion Classification Based Intermode Selection Strategy for HEVC Performance Improvement Pallab Kanti Podder1 , Manoranjan Paul1 and Manzur Murshed2 1 School of...
Pallab Kanti Podder, Manoranjan Paul, M. Manzur Mu...
IJON
2016
47views more  IJON 2016»
8 years 1 months ago
Hidden Markov models with set-valued parameters
Hidden Markov models (HMMs) are widely used probabilistic models of sequential data. As with other probabilistic models, they require the specification of local conditional proba...
Denis Deratani Mauá, Alessandro Antonucci, ...
IJON
2016
48views more  IJON 2016»
8 years 1 months ago
Fat-Fast VG-RAM WNN: A high performance approach
The Virtual Generalizing Random Access Memory Weightless Neural Network (VGRAM WNN) is a type of WNN that only requires storage capacity proportional to the training set. As such,...
Avelino Forechi, Alberto F. De Souza, Jorcy de Oli...