Image-Guided Rendering with an Evolutionary Algorithm Based on Cloud Model.

abstract：:Rotation Forest is an ensemble learning approach achieving better performance comparing to Bagging and Boosting through building accurate and diverse classifiers using rotated feature space. However, like other conventional classifiers, Rotation Forest does not work well on the imbalanced data which are characterized ...

journal_title：Computational intelligence and neuroscience

authors： Guo H,Diao X,Liu H

更新日期：2018-11-01 00:00:00

abstract：:Critical gap is an important parameter used to calculate the capacity and delay of minor road in gap acceptance theory of unsignalized intersections. At an unsignalized intersection with two one-way traffic flows, it is assumed that two events are independent between vehicles' arrival of major stream and vehicles' arr...

journal_title：Computational intelligence and neuroscience

authors： Guo RJ,Wang XJ,Wang WX

更新日期：2014-01-01 00:00:00

abstract：:When some attributes of a formal context can be decomposed into some subattributes a model of layered concept lattice to improve the efficiency of building concept lattice with complex structure attribute data is studied, the relationship between concept lattice and layered concept is discussed. Two algorithms are pro...

journal_title：Computational intelligence and neuroscience

authors： Wu X,Zhang J,Zhong J

更新日期：2020-06-11 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：:We propose a biologically motivated brain-inspired single neuron perceptron (SNP) with universal approximation and XOR computation properties. This computational model extends the input pattern and is based on the excitatory and inhibitory learning rules inspired from neural connections in the human brain's nervous sy...

journal_title：Computational intelligence and neuroscience

authors： Lotfi E,Akbarzadeh-T MR

更新日期：2014-01-01 00:00:00

abstract：:With the development of society, more and more attention has been paid to cultural festivals. In addition to the government's emphasis, the increasing consumption in festivals also proves that cultural festivals are playing increasingly important role in public life. Therefore, it is very vital to grasp the public fes...

journal_title：Computational intelligence and neuroscience

authors： Yuan H,Song Y,Hu J,Ma Y

更新日期：2020-08-07 00:00:00

abstract：:We present a framework for inferring functional brain state from electrophysiological (MEG or EEG) brain signals. Our approach is adapted to the needs of functional brain imaging rather than EEG-based brain-computer interface (BCI). This choice leads to a different set of requirements, in particular to the demand for ...

journal_title：Computational intelligence and neuroscience

authors： Zhdanov A,Hendler T,Ungerleider L,Intrator N

更新日期：2007-01-01 00:00:00

abstract：:To improve the classification performance of imbalanced learning, a novel oversampling method, immune centroids oversampling technique (ICOTE) based on an immune network, is proposed. ICOTE generates a set of immune centroids to broaden the decision regions of the minority class space. The representative immune centro...

journal_title：Computational intelligence and neuroscience

authors： Ai X,Wu J,Sheng VS,Zhao P,Cui Z

更新日期：2015-01-01 00:00:00

abstract：:The rapid development of the automotive industry has brought great convenience to our life, which also leads to a dramatic increase in the amount of traffic accidents. A large proportion of traffic accidents were caused by driving fatigue. EEG is considered as a direct, effective, and promising modality to detect driv...

journal_title：Computational intelligence and neuroscience

authors： Ma Y,Chen B,Li R,Wang C,Wang J,She Q,Luo Z,Zhang Y

更新日期：2019-07-14 00:00:00

abstract：:The neural autoregressive distribution estimator(NADE) is a competitive model for the task of density estimation in the field of machine learning. While NADE mainly focuses on the problem of estimating density, the ability for dealing with other tasks remains to be improved. In this paper, we introduce a simple and ef...

journal_title：Computational intelligence and neuroscience

authors： Wang Z,Wu Q

更新日期：2018-12-23 00:00:00

abstract：:Traffic congestion at bus bays has decreased the service efficiency of public transit seriously in China, so it is crucial to systematically study its theory and methods. However, the existing studies lack theoretical model on computing efficiency. Therefore, the calculation models of bus delay at bays are studied. Fi...

journal_title：Computational intelligence and neuroscience

authors： Sun F,Sun L,Sun SW,Wang DH

更新日期：2015-01-01 00:00:00

abstract：:In recent years the spatial resolutions of remote sensing images have been improved greatly. However, a higher spatial resolution image does not always lead to a better result of automatic scene classification. Visual attention is an important characteristic of the human visual system, which can effectively help to cl...

journal_title：Computational intelligence and neuroscience

authors： Li L,Xu T,Chen Y

更新日期：2017-01-01 00:00:00

abstract：:One important objective of urban traffic signal control is to reduce individual delay and improve safety for travelers in both private car and public bus transit. To achieve signal control optimization from the perspective of all users, this paper proposes a platoon-based adaptive signal control (PASC) strategy to pro...

journal_title：Computational intelligence and neuroscience

authors： Li N,Chen S,Zhu J,Sun DJ

更新日期：2020-06-01 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：:The motor clinical hallmarks of Parkinson's disease (PD) are usually quantified by physicians using validated clinimetric scales such as the Unified Parkinson's Disease Rating Scale (MDS-UPDRS). However, clinical ratings are prone to subjectivity and inter-rater variability. The PD medical community is therefore looki...

journal_title：Computational intelligence and neuroscience

authors： Stamatakis J,Ambroise J,Crémers J,Sharei H,Delvaux V,Macq B,Garraux G

更新日期：2013-01-01 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：: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：: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：:A gaze estimation system is one of the communication methods for severely disabled people who cannot perform gestures and speech. We previously developed an eye tracking method using a compact and light electrooculogram (EOG) signal, but its accuracy is not very high. In the present study, we conducted experiments to ...

journal_title：Computational intelligence and neuroscience

authors： Sakurai K,Yan M,Tanno K,Tamura H

更新日期：2017-01-01 00:00:00

abstract：:Energy consumption forecasting (ECF) is an important policy issue in today's economies. An accurate ECF has great benefits for electric utilities and both negative and positive errors lead to increased operating costs. The paper proposes a semantic based genetic programming framework to address the ECF problem. In par...

journal_title：Computational intelligence and neuroscience

authors： Castelli M,Trujillo L,Vanneschi L

更新日期：2015-01-01 00:00:00

abstract：:SSD (Single Shot MultiBox Detector) is one of the best object detection algorithms and is able to provide high accurate object detection performance in real time. However, SSD shows relatively poor performance on small object detection because its shallow prediction layer, which is responsible for detecting small obje...

journal_title：Computational intelligence and neuroscience

authors： Zhang X,Gao Y,Ye F,Liu Q,Zhang K

更新日期：2020-04-05 00:00:00

abstract：:An integration of both the Hebbian-based and reinforcement learning (RL) rules is presented for dynamic synapses. The proposed framework permits the Hebbian rule to update the hidden synaptic model parameters regulating the synaptic response rather than the synaptic weights. This is performed using both the value and ...

journal_title：Computational intelligence and neuroscience

authors： El-Laithy K,Bogdan M

更新日期：2011-01-01 00:00:00

abstract：:The purpose of this paper is to evaluate food taste, smell, and characteristics from consumers' online reviews. Several studies in food sensory evaluation have been presented for consumer acceptance. However, these studies need taste descriptive word lexicon, and they are not suitable for analyzing large number of eva...

journal_title：Computational intelligence and neuroscience

authors： Kim AY,Ha JG,Choi H,Moon H

更新日期：2018-01-22 00:00:00

abstract：:The state observer for dynamic links in complex dynamical networks (CDNs) is investigated by using the adaptive method whether the networks are undirected or directed. In this paper, a complete network model is proposed, which is composed of two coupled subsystems called nodes subsystem and links subsystem, respective...

journal_title：Computational intelligence and neuroscience

authors： Gao Z,Xiong J,Zhong J,Liu F,Liu Q

更新日期：2020-10-21 00:00:00

abstract：:Stress is categorized as a condition of mental strain or pressure approaches because of upsetting or requesting conditions. There are various sources of stress initiation. Researchers consider human cerebrum as the primary wellspring of stress. To study how each individual encounters stress in different forms, researc...

journal_title：Computational intelligence and neuroscience

authors： Gupta R,Alam MA,Agarwal P

更新日期：2020-08-01 00:00:00

abstract：:Understanding video files is a challenging task. While the current video understanding techniques rely on deep learning, the obtained results suffer from a lack of real trustful meaning. Deep learning recognizes patterns from big data, leading to deep feature abstraction, not deep understanding. Deep learning tries to...

journal_title：Computational intelligence and neuroscience

authors： Ghozia A,Attiya G,Adly E,El-Fishawy N

更新日期：2020-12-23 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：:Rehabilitation training is essential for motor dysfunction patients, and the training through their subjective motion intention, comparing to passive training, is more conducive to rehabilitation. This study proposes a method to identify motion intention of different walking states under the normal environment, by usi...

journal_title：Computational intelligence and neuroscience

authors： Jin H,Li C,Xu J

更新日期：2018-10-17 00:00:00

abstract：:In specific regions of the central nervous system (CNS), gap junctions have been shown to participate in neuronal synchrony. Amongst the CNS regions identified, some populations of brainstem motoneurons are known to be coupled by gap junctions. The application of various gap junction blockers to these motoneuron popul...

journal_title：Computational intelligence and neuroscience

authors： Memelli H,Horn KG,Wittie LD,Solomon IC

更新日期：2012-01-01 00:00:00

abstract：:Long and tedious calibration time hinders the development of motor imagery- (MI-) based brain-computer interface (BCI). To tackle this problem, we use a limited labelled set and a relatively large unlabelled set from the same subject for training based on the transductive support vector machine (TSVM) framework. We fi...

journal_title：Computational intelligence and neuroscience

authors： Xu Y,Hua J,Zhang H,Hu R,Huang X,Liu J,Guo F

更新日期：2019-11-25 00:00:00