Online Hierarchical Sparse Representation of Multifeature for Robust Object Tracking.

abstract：:This paper proposes an artificial immune network based on cloud model (AINet-CM) for complex function optimization problems. Three key immune operators-cloning, mutation, and suppression-are redesigned with the help of the cloud model. To be specific, an increasing half cloud-based cloning operator is used to adjust t...

journal_title：Computational intelligence and neuroscience

authors： Wang M,Feng S,Li J,Li Z,Xue Y,Guo D

更新日期：2017-01-01 00:00:00

abstract：:The emergent consensus on dimensional models of sentiment, appraisal, emotions, and values is on the semantics of the principal dimensions, typically interpreted as valence, arousal, and dominance. The notion of weak semantic maps was introduced recently as distribution of representations in abstract spaces that are n...

journal_title：Computational intelligence and neuroscience

authors： Samsonovich AV,Ascoli GA

更新日期：2013-01-01 00:00:00

abstract：:This study proposes a home care system (HCS) based on a brain-computer interface (BCI) with a smartphone. The HCS provides daily help to motor-disabled people when a caregiver is not present. The aim of the study is two-fold: (1) to develop a BCI-based home care system to help end-users control their household applian...

journal_title：Computational intelligence and neuroscience

authors： Sun KT,Hsieh KL,Syu SR

更新日期：2020-08-28 00:00:00

abstract：:Ant Colony Optimization (ACO) has been successfully applied to solve a wide range of combinatorial optimization problems such as minimum spanning tree, traveling salesman problem, and quadratic assignment problem. Basic ACO has drawbacks of trapping into local minimum and low convergence rate. Simulated annealing (SA)...

journal_title：Computational intelligence and neuroscience

authors： Mohsen AM

更新日期：2016-01-01 00:00:00

abstract：:Transportation is an important link in the mining process, and large trucks are one of the important tools for mine transportation. Due to their large size and small driving position, large trucks have a blind spot, which is a hidden danger to the safe transportation of mines and has a great impact on production effic...

journal_title：Computational intelligence and neuroscience

authors： Xiao D,Li H,Liu C,He Q

更新日期：2019-10-13 00:00:00

abstract：:Characterization of air traffic controllers' (ATCs') visual scanning strategies is a challenging issue due to the dynamic movement of multiple aircraft and increasing complexity of scanpaths (order of eye fixations and saccades) over time. Additionally, terminologies and methods are lacking to accurately characterize ...

journal_title：Computational intelligence and neuroscience

authors： McClung SN,Kang Z

更新日期：2016-01-01 00:00:00

abstract：:This paper brings forth a learning-based visual saliency model method for detecting diagnostic diabetic macular edema (DME) regions of interest (RoIs) in retinal image. The method introduces the cognitive process of visual selection of relevant regions that arises during an ophthalmologist's image examination. To reco...

journal_title：Computational intelligence and neuroscience

authors： Zou X,Zhao X,Yang Y,Li N

更新日期：2016-01-01 00:00:00

abstract：:Since real-world data sets usually contain large instances, it is meaningful to develop efficient and effective multiple instance learning (MIL) algorithm. As a learning paradigm, MIL is different from traditional supervised learning that handles the classification of bags comprising unlabeled instances. In this paper...

journal_title：Computational intelligence and neuroscience

authors： Wang J,Cai L,Peng J,Jia Y

更新日期：2015-01-01 00:00:00

abstract：:We propose to couple the R2 performance measure and Particle Swarm Optimization in order to handle multi/many-objective problems. Our proposal shows that through a well-designed interaction process we could maintain the metaheuristic almost inalterable and through the R2 performance measure we did not use neither an e...

journal_title：Computational intelligence and neuroscience

authors： Díaz-Manríquez A,Toscano G,Barron-Zambrano JH,Tello-Leal E

更新日期：2016-01-01 00:00:00

abstract：:This paper presents the use of linear and nonlinear multivariable models as tools to support training process of race walkers. These models are calculated using data collected from race walkers' training events and they are used to predict the result over a 3 km race based on training loads. The material consists of 1...

journal_title：Computational intelligence and neuroscience

authors： Wiktorowicz K,Przednowek K,Lassota L,Krzeszowski T

更新日期：2015-01-01 00:00:00

abstract：:Increasing population age demands more services in healthcare domain. It has been shown that mobile robots could be a potential solution to home biomonitoring for the elderly. Through our previous studies, a mobile robot system that is able to track a subject and identify his daily living activities has been developed...

journal_title：Computational intelligence and neuroscience

authors： Dorronzoro Zubiete E,Nakahata K,Imamoglu N,Sekine M,Sun G,Gomez I,Yu W

更新日期：2016-01-01 00:00:00

abstract：:In the conceptual design stage, inspirational sources play an important role in designers' creative thinking. This paper proposes a retrieval method for semantic-based inspirational sources, which helps designers obtain inspirational images in the conceptual design stage of emotional design. The core principle involve...

journal_title：Computational intelligence and neuroscience

authors： Du J,Li Y,Ma J,Xiong Y,Li W

更新日期：2018-11-08 00:00:00

abstract：:Under the competitive market environment, the game between manufacturers comes down to the competitive multiattribute group decision-making problem. In this study, the evaluation information of experts is given in the form of 2-dimension 2-tuple linguistic variables, and an approach is proposed for the competitive mul...

journal_title：Computational intelligence and neuroscience

authors： Zhang Q,Jiang K,Yan M,Ma J

更新日期：2019-11-11 00:00:00

abstract：:Nowadays the neuroscientific community is taking more and more advantage of the continuous interaction between engineers and computational neuroscientists in order to develop neuroprostheses aimed at replacing damaged brain areas with artificial devices. To this end, a technological effort is required to develop neura...

journal_title：Computational intelligence and neuroscience

authors： Breschi GL,Ciliberto C,Nieus T,Rosasco L,Taverna S,Chiappalone M,Pasquale V

更新日期：2015-01-01 00:00:00

abstract：:We propose an improved algorithm, for a multiswarm particle swarm optimization with transfer of the best particle called BMPSO. In the proposed algorithm, we introduce parasitism into the standard particle swarm algorithm (PSO) in order to balance exploration and exploitation, as well as enhancing the capacity for glo...

journal_title：Computational intelligence and neuroscience

authors： Wei XP,Zhang JX,Zhou DS,Zhang Q

更新日期：2015-01-01 00:00:00

abstract：:Plant image identification has become an interdisciplinary focus in both botanical taxonomy and computer vision. The first plant image dataset collected by mobile phone in natural scene is presented, which contains 10,000 images of 100 ornamental plant species in Beijing Forestry University campus. A 26-layer deep lea...

journal_title：Computational intelligence and neuroscience

authors： Sun Y,Liu Y,Wang G,Zhang H

更新日期：2017-01-01 00:00:00

abstract：:We estimate cortical activity in normal subjects during the observation of TV commercials inserted within a movie by using high-resolution EEG techniques. The brain activity was evaluated in both time and frequency domains by solving the associate inverse problem of EEG with the use of realistic head models. In partic...

journal_title：Computational intelligence and neuroscience

authors： Astolfi L,Vecchiato G,De Vico Fallani F,Salinari S,Cincotti F,Aloise F,Mattia D,Marciani MG,Bianchi L,Soranzo R,Babiloni F

更新日期：2009-01-01 00:00:00

abstract：:[This corrects the article DOI: 10.1155/2019/9898251.]. ...

journal_title：Computational intelligence and neuroscience

authors： Hou Y,Ma X,Mei G,Wang N,Xu W

更新日期：2019-09-23 00:00:00

abstract：:Reservoirs are important for households and impact the national economy. This paper proposed a time-series forecasting model based on estimating a missing value followed by variable selection to forecast the reservoir's water level. This study collected data from the Taiwan Shimen Reservoir as well as daily atmospheri...

journal_title：Computational intelligence and neuroscience

authors： Yang JH,Cheng CH,Chan CP

更新日期：2017-01-01 00:00:00

abstract：:With stereoscopic displays a sensation of depth that is too strong could impede visual comfort and may result in fatigue or pain. We used Electroencephalography (EEG) to develop a novel brain-computer interface that monitors users' states in order to reduce visual strain. We present the first system that discriminates...

journal_title：Computational intelligence and neuroscience

authors： Frey J,Appriou A,Lotte F,Hachet M

更新日期：2016-01-01 00:00:00

abstract：:Blast furnace (BF) is the main method of modern iron-making. Ensuring the stability of the BF conditions can effectively improve the quality and output of iron and steel. However, operations of BF depend on mainly human experience, which causes two problems: (1) human experience is not objective and is difficult to in...

journal_title：Computational intelligence and neuroscience

authors： Han Y,Yu D,Yin C,Zhao Q

更新日期：2020-05-11 00:00:00

abstract：:Cloud workflow system is a kind of platform service based on cloud computing. It facilitates the automation of workflow applications. Between cloud workflow system and its counterparts, market-oriented business model is one of the most prominent factors. The optimization of task-level scheduling in cloud workflow syst...

journal_title：Computational intelligence and neuroscience

authors： Li X,Xu J,Yang Y

更新日期：2015-01-01 00:00:00

abstract：:We propose a novel efficient algorithm for computing visual saliency, which is based on the computation architecture of Itti model. As one of well-known bottom-up visual saliency models, Itti method evaluates three low-level features, color, intensity, and orientation, and then generates multiscale activation maps. Fi...

journal_title：Computational intelligence and neuroscience

authors： He Z,Chen X,Sun L

更新日期：2015-01-01 00:00:00

abstract：:Estimating single-trial evoked potentials (EPs) corrupted by the spontaneous electroencephalogram (EEG) can be regarded as signal denoising problem. Sparse coding has significant success in signal denoising and EPs have been proven to have strong sparsity over an appropriate dictionary. In sparse coding, the noise gen...

journal_title：Computational intelligence and neuroscience

authors： Yu N,Chen Y,Wu L,Lu H

更新日期：2018-03-22 00:00:00

abstract：:The paper addresses the context in which the construction industry is considered risky, as the intense labor and machine environment interacts with acceleration and overlapping activities. This situation results in accidents and fatalities. A high number of accidents and fatalities leads to additional costs and delays...

journal_title：Computational intelligence and neuroscience

authors： Gunduz M,Khader BK

更新日期：2020-02-25 00:00:00

abstract：:In today's society, image resources are everywhere, and the number of available images can be overwhelming. Determining how to rapidly and effectively query, retrieve, and organize image information has become a popular research topic, and automatic image annotation is the key to text-based image retrieval. If the sem...

journal_title：Computational intelligence and neuroscience

authors： Cao J,Wu C,Chen L,Cui H,Feng G

更新日期：2019-07-04 00:00:00

abstract：:Independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data can be employed as an exploratory method. The lack in the ICA model of strong a priori assumptions about the signal or about the noise leads to difficult interpretations of the results. Moreover, the statistical independence of t...

journal_title：Computational intelligence and neuroscience

authors： Vanello N,Ricciardi E,Landini L

更新日期：2016-01-01 00:00:00

abstract：:Grounded language acquisition is an important issue, particularly to facilitate human-robot interactions in an intelligent and effective way. The evolutionary and developmental language acquisition are two innovative and important methodologies for the grounding of language in cognitive agents or robots, the aim of wh...

journal_title：Computational intelligence and neuroscience

authors： Rasheed N,Amin SH

更新日期：2016-01-01 00:00:00

abstract：:This article is devoted to statistical modeling and analysis of electrocorticogram (ECoG) signals induced by painful cutaneous laser stimuli, which were recorded from implanted electrodes in awake humans. Specifically, with statistical tools of factor analysis and independent component analysis, the pain-induced laser...

journal_title：Computational intelligence and neuroscience

authors： Chen Z,Ohara S,Cao J,Vialatte F,Lenz FA,Cichocki A

更新日期：2007-01-01 00:00:00

abstract：:When entering a synapse, presynaptic pulse trains are filtered according to the recent pulse history at the synapse and also with respect to their own pulse time course. Various behavioral models have tried to reproduce these complex filtering properties. In particular, the quantal model of neurotransmitter release ha...

journal_title：Computational intelligence and neuroscience

authors： Mayr C,Partzsch J,Schüffny R

更新日期：2009-01-01 00:00:00