Improving principal component analysis performance for reducing spectral dimension in hyperspectral image classification

DMS Arsa, HR Sanabila, MF Rachmadi… - … Workshop on Big …, 2018 - ieeexplore.ieee.org
High dimensional data will cause problems in classification tasks and storage.
Hyperspectral image is a 3D image with hundreds of spectrals. A dimensional reduction …

Optimization of stacked unsupervised extreme learning machine to improve classifier performance

DMS Arsa, MA Ma'sum, MF Rachmadi… - … Workshop on Big …, 2017 - ieeexplore.ieee.org
In the era of Big Data, data size and data security are issues that need to be solved. To
address this problem, we may apply data compression technique or data encryption. On the …

Enhance generalized learning vector quantization using unsupervised extreme learning machine and intelligent K-means clustering

MA Ma'sum, DMS Arsa, N Habibie… - … Workshop on Big Data …, 2017 - ieeexplore.ieee.org
In this paper we proposed an enhancement of GLVQ classifier using USELM and IK-Means
clustering. USELM is used to transform feature data into more separable form. The clustering …

Bhattacharyya distance-based tracking: A vehicle counting application

JB Baskoro, A Wibisono… - … Conference on Advanced …, 2017 - ieeexplore.ieee.org
Vehicle growth in Indonesia is not supported by the number of the road. This fact has caused
traffic congestion easily occurred, especially in big cities. Intelligent Transportation System …

Level 2 Features with Feedback Mechanism for Toddler Fingerprint Recognition

IGWS Dharma, MA Ma'sum, W Jatmiko… - … Workshop on Big …, 2018 - ieeexplore.ieee.org
This study is carried out to improve matching accuracy between level 1 feature and level 2
feature of a fingerprint by applying feedback mechanism. Level 1 feature consists of ridge …

Block and booth floating point number multiplication algorithms in FPGA's generalized learning vector quantization implementation

Y Wardhana, HS Putra, SI Sakinah… - … Workshop on Big …, 2017 - ieeexplore.ieee.org
Nowadays, smart devices have been rapidly developed. Most of them are just sensors and
actuators without independent computation ability. The devices computation would be done …