This paper investigates the performance of machine learning methods for classifying rock types from hyperspectral data. The main objective is to test the impact on classification ...
Multi-attribute motion data can be generated in many applications/ devices, such as motion capture devices and animations. It can have dozens of attributes, thousands of rows, and ...
Chuanjun Li, Latifur Khan, Balakrishnan Prabhakara...
Data Driven Time Synchronization (DDTS) provides synchronization across sensors by using underlying characteristics of data collected by an embedded sensing system. We apply the c...
Martin Lukac, Paul Davis, Robert Clayton, Deborah ...
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
Multi-class binary symbol classification requires the use of rich descriptors and robust classifiers. Shape representation is a difficult task because of several symbol distortions...