Phoneme Based Speaker Verification System Based on Two Stage Self-Organizing Map Design by Ang, Chee Huei

“…Self-organizing map, as an unsupervised learning artificial neural network, rarely used as final classification step in pattern recognition task due to its relatively low accuracy. …”
Get full text

An unsupervised machine learning-based framework for transferring local factories into supply chain networks by Mad Ali, Mohd Fahmi, Mohd Ariffin, Mohd Khairol Anuar, Mustapha, Faizal, Supeni, Eris Elianddy

“…In order to evaluate the performance of the proposed method, its outcomes are compared with other unsupervised-learning methods such as the WARD and CLINK methods. …”

Software module clustering: An in-depth literature analysis by Qusay I., Sarhan, Ahmed, Bestoun S., Bures, Miroslav, Kamal Z., Zamli

“…Software module clustering is an unsupervised learning method used to cluster software entities (e.g., classes, modules, or files) with similar features. …”
Get full text

Max-D clustering K-means algorithm for Autogeneration of Centroids and Distance of Data Points Cluster by Wan Maseri, Wan Mohd, Beg, Abul Hashem, Tutut, Herawan, K., F.Rabbi

“…K-Means is one of the unsupervised learning and partitioning clustering algorithms. …”
Get full text

Learning An Invariant Speech Representation by Evangelopoulos, Georgios, Voinea, Stephen, Zhang, Chiyuan, Rosasco, Lorenzo, Poggio, Tomaso

“…We propose an extension of a theory for unsupervised learning of invariant visual representations to the auditory domain and empirically evaluate its validity for voiced speech sound classification. …”
Get full text

Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning by Owens, Andrew, Wu, Jiajun, McDermott, Josh H, Freeman, William T, Torralba, Antonio

“…We evaluate this representation on several recognition tasks, finding that its performance is comparable to that of other state-of-the-art unsupervised learning methods. Finally, we show through visualizations that the network learns units that are selective to objects that are often associated with characteristic sounds. …”
Get full text

An investigation on space debris of unknown origin using proper elements and neural networks by Wu, Di, Rosengren, Aaron J.

“…Building from this rich astronomical heritage and recent foundations, we introduce an unsupervised learning method—density-based spatial clustering of applications with noise (DBSCAN)—to determine clusters of orbital debris in the space of proper elements. …”
Get full text

Automatic record extraction for the World Wide Web by Shen, Yuan Kui

Get full text

Automatic topic detection of news by Liu, Fengyuan

“…The project will mainly focus on using unsupervised learning methods for implementation to reduce the amount of manual work and fulfill the “automatic” component of the project [1]. …”
Get full text

Garment mesh reconstruction and animation by Ju, Chuang

“…Unlike some of the existing approaches that require complex inputs, our model works with 2D garment images or masks that are easily accessible. Unsupervised learning is implemented during training, making the data collection much easier as no labelling is required. …”
Get full text

Implementation of a convolutional neural network on FPGA by Xue, Can

“…Training process includes supervised and unsupervised learning. Another focus is the implementation of process engine architecture. …”
Get full text

PENGEMBANGAN SISTEM KLASIFIKASI POLA PADA ELECTRONIC NOSE BERBASIS JARINGAN SYARAF TIRUAN KOHONEN DAN APLIKASINYA SEBAGAI MONITORING PROSES FERMENTASI TEMPE by , FITRIYANTI, , Dr. Kuwat Triyana

“…Pattern recognition system of electronic nose (E-Nose) output have been recognized using artificial neural network (ANN) Kohonen and principal component analysis (PCA) on the process monitoring tempeh fermentation. Kohonen is unsupervised learning method that capable to cluster data independently based on the same pattern. …”

KLASIFIKASI MOOD LIRIK LAGU MENGGUNAKAN METODE TF-IDF DAN SELF ORGANIZING MAPS by , ROSITA YANUARTI, , Dr.Techn. Khabib Mustofa, S.Si, M.Kom

“…This research discuss classifications of a group of lyrics into certain mood classes based on the terms in the lyrics using tf-idf and self organizing maps which iis unsupervised learning algorithm. Metrics value tf-idf as the representation of term frequencies is used to measure the relevance of term to those certain mood classes. …”

Self-organizing map approach for determining mobile user location using IEEE 802.11 signals by Mantoro, Teddy, Ayu, Media Anugerah, Nuraini, Asma, Amin, Sulafa Mohd

“…With the novel use of Wi-Fi based on the IEEE 802.11 standards: inferring the location of a wireless client from signal quality measures, the Kohonen SOM paradigms were used. SOM as an unsupervised learning techniques of Artificial Neural Network (ANN) capable for summarizing high-dimensional data which cause region of the network to respond similarly to certain input patterns by analyzing the signal strength or signal-to-noise (SNR) of the wireless access points (AP) that enable a wireless networked device to infer the location of wireless client. …”
Get full text

PENERAPAN ELMAN RECURRENT NEURAL NETWORK UNTUK DIAGNOSIS GANGGUAN AUTIS PADA ANAK by , YULI NOORVIANI,ST, , Drs.Widodo Prijodiprodjo, M.Sc., EE.

“…Artificial neural network method used is the method of Elman Recurrent Neural Network, which is an unsupervised learning. This software is created using the Matlab programming language with MySQL database. …”

Neural network modelling of the primate ventral visual pathway by Eguchi, A

“…Then I propose how understanding the two complementary unsupervised learning mechanisms of translation invariance may have useful applications in clinical psychology. …”

Unsupervised intuitive physics from visual observations by Ehrhardt, S, Monszpart, A, Mitra, N, Vedaldi, A

“…We do so in two steps: (i) we learn to track dynamically-salient objects in videos using causality and equivariance, two non-generative unsupervised learning principles that do not require manual or external supervision. …”

APEX: Unsupervised, object-centric scene segmentation and tracking for robot manipulation by Wu, Y, Jones, OP, Engelcke, M, Posner, I

“…Recent advances in unsupervised learning for object detection, segmentation, and tracking hold significant promise for applications in robotics. …”

Visualization of personality and phobia type clustering with GMM and spectral by Ting Tin Tin, Cheok Jia Wei, Ong Tzi Min, Lim Siew Mooi, Lee Kuok Tiung, Ali Aitizaz, Chaw Jun Kit, Ayodeji Olalekan Salau

“…This study seeks to develop a robust cluster analysis approach (unsupervised learning) to efficiently and accurately classify individuals based on their personality traits, overcoming the limitations of manual classification. …”
Get full text

Experience beyond knowledge: Pragmatic e-learning systems design with learning experience by Katuk, Norliza, Kim, Jieun, Ryu, Hokyoung

“…These contrasting findings can be suggested as a pragmatic design guideline for developing more engaging computer-based learning systems for unsupervised learning situations…”
Get full text