Search Results - "curse of dimensionality"

A modified generalized RBF model with EM-based learning algorithm for medical applications by Ma, Li Ya, Abdul Rahman, Abdul Wahab, Quek, Chai

“…One problem of classical RBF is that it suffers from curse of dimensionality that the number of basis functions will explode with the increase of dimensions in the dataset. …”
Get full text
Get full text

Generalizations of the auxiliary particle filter for multiple target tracking by Úbeda-Medina, L., Garcia Fernandez, Angel, Grajal, J.

“…The inherent difficulty of this problem is caused by the sampling of a high dimension state space, giving rise to the curse of dimensionality, which pulls down the performance of direct generalizations of single target particle filter algorithms. …”
Get full text

Multiscan association as a single-commodity flow optimization problem by Battistelli, G., Chisci, L., Papi, Francesco, Benavoli, A., Farina, A.

“…Unfortunately, however, this approach is affected by the curse of dimensionality which hinders its real-time application for tracking problems with short scan periods and/or long association windows and/or many measurements. …”
Get full text

Multiscan association as a multi-commodity flow optimization problem by Battistelli, G., Chisci, L., Papi, Francesco, Benavoli, A., Farina, A.

“…Unfortunately, however, this approach is affected by the curse of dimensionality which hinders its real-time application for tracking problems with short scan periods and/or long association windows and/or many measurements. …”
Get full text

Optimal flow models for multiscan data association by Battistelli, G., Chisci, L., Papi, Francesco, Benavoli, A., Farina, A., Graziano, A.

“…Unfortunately, however, this approach is affected by the curse of dimensionality which hinders its real-time application for tracking problems with short scan periods and/or a high number of scans of the association logics and/or many measurements per scan. …”
Get full text

Multi-Class Dynamic Inventory Rationing with Stochastic Demands and Backordering by Zhang, Changyong, Liu, S., Song, M., Tan, K.

“…However, due to the curse of dimensionality, computation is a critical challenge for dynamic programming. …”
Get full text

Multi-class Dynamic Inventory Rationing with Stochastic Demands and Backordering by Liu, S., Song, M., Tan, Ka, Zhang, Changyong

“…However, due to the curse of dimensionality, computation is a critical challenge for dynamic programming. …”
Get full text

Towards deep learning in genome-wide association interaction studies by Uppu, S., Krishna, Aneesh, Gopalan, R.

“…However, the challenges hindering these approaches are missing heritability, curse of dimensionality, and computational limitations. Despite abundant computational methods and tools available to discover interactions, there have been no breakthrough methods that can demonstrate replicable results. …”
Get full text
Get full text

Dynamic programming with approximation function for nurse scheduling by Shi, Peng, Landa-Silva, Dario

“…Although dynamic programming could ideally solve any combinatorial optimization problem, the curse of dimensionality of the search space seriously limits its application to large optimization problems. …”
Get full text

Integrative gene selection for classification of microarray data by Ong, Huey Fang, Mustapha, Norwati, Sulaiman, Md. Nasir

“…The main challenge in building this classification system is the curse of dimensionality problem. Thus, there is a considerable amount of studies on gene selection method for building effective classification models. …”
Get full text
Get full text

An overview of outlier detection methods by Md. Sap, Mohd. Noor, Mohebi, Ehsan

“…In high dimensional datasets, it's very difficult to find outliers with the measure of distance or density methods, because in such spaces the data become sparse and the imagination of data distribution is also hard. So with the curse of dimensionality we discuss a cluster based method that examines the behavior of the data in low dimensional projection. …”
Get full text
Get full text

Performance of Convolutional Neural Networks for Feature Extraction in Froth Flotation Sensing by Horn, Z., Auret, L., McCoy, J., Aldrich, Chris, Herbst, B.

“…A specific deep learning method, Convolutional Neural Networks (CNNs), mitigates the curse of dimensionality inherent in fully connected networks but must be trained, unlike other feature extractors. …”
Get full text

Alternative Model for Extracting Multidimensional Data Based-on Comparative Dimension Reduction by Sembiring, Rahmat Widia, Jasni, Mohamad Zain, Abdullah, Embong

“…To obtain an efficient processing time while clustering and mitigate curse of dimensionality, a clustering process needs data reduction. …”
Get full text
Get full text

Enhancing a Fuzzy Failure Mode and Effect Analysis methodology with an Analogical Reasoning Technique by Tze, Ling Jee, Kai, Meng Tay, Chee, Khoon Ng

“…With the grid partition strategy, the number of fuzzy rules required increases in an exponential manner, and this phenomenon is known as the “curse of dimensionality” or the combinatorial rule explosion problem. …”
Get full text
Get full text

Elastic net for single index support vector regression model by Dhhan, Waleed, Rana, Sohel, Alshaybawee, Taha, Midi, Habshah

“…The single index model (SIM) is a useful regression tool used to alleviate the so-called curse of dimensionality. In this paper, we propose a variable selection technique for the SIM by combining the estimation method with the Elastic Net penalized method to get sparse estimation of the index parameters. …”
Get full text
Get full text

Effective method for sentiment lexical dictionary enrichment based on Word2Vec for sentiment analysis by Alshari, Eissa Mohammed Mohsen, Azman, Azreen, C. Doraisamy, Shyamala, Mustapha, Norwati, Alksher, Mostafa Ahmed

“…However, there are huge number of terms in the corpus vocabulary that are not in the SentiWordNet due to the curse of dimensionality, which will limit the performance of the sentiment analysis. …”
Get full text
Get full text

Modified Q-learning with distance metric and virtual target on path planning of mobile robot by Ee, Soong Low, Ong, Pauline, Cheng, Yee Low, Omar, Rosli

“…Despite the successful implementation of Q-learning reported in numerous studies, its slow convergence associated with the curse of dimensionality may limit the performance in practice. …”
Get full text
Get full text

Studies on classification of FMRI data using deep learning approach by Mohd Suhaimi, Nur Farahana, Htike@Muhammad Yusof, Zaw Zaw, Alang Md Rashid, Nahrul Khair

“…On the other hand, supervised learning or biomarker is employed to reduce the curse-of-dimensionality of fMRI datasets. Yet, the process is difficult and subjective to the labeled datasets. …”
Get full text
Get full text

A three-step classification framework to handle complex data distribution for radar UAV detection by Ren, Jianfeng, Jiang, Xudong

“…To better model radar data and to tackle the curse of dimensionality, a three-step classification framework is proposed for UAV detection. …”
Get full text

Cluster Evaluation of Density Based Subspace Clustering by Sembiring, Rahmat Widia, Jasni, Mohamad Zain

“…Clustering real world data often faced with curse of dimensionality, where real world data often consist of many dimensions. …”
Get full text
Get full text
Get full text