Results 61 to 70 of about 5,152,243 (358)

Histogram-based Feature Extraction for GPS Trajectory Clustering [PDF]

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2020
Clustering trajectories from GPS data is a crucial task for developing applications in intelligent transportation systems.Most existing approaches perform clustering on raw data consisting of series of GPS positions of moving objects overtime. Such approaches are not suitable for classifying moving behaviours of vehicles, e.g., how to distinguish ...
Anh M. Le, Thao Dinh, Van-Hau Nguyen, Nhat Phuong Tran, Chi Nguyen   +4 more
openaire   +3 more sources

An Enhanced Deep Feature Representation for Person Re-identification

, 2016
Feature representation and metric learning are two critical components in person re-identification models. In this paper, we focus on the feature representation and claim that hand-crafted histogram features can be complementary to Convolutional Neural ...
Chen, Ying-Cong, Li, Xiang, Wu, An-Cong, Wu, Shangxuan, You, Jin-Jie, Zheng, Wei-Shi   +5 more
core   +1 more source

Electric Conductance of Rh Atomic Contacts under Electrochemical Potential Control

, 2010
The electric conductance of Rh atomic contacts was investigated under the electrochemical potential control. The conductance histogram of Rh atomic contacts varied with the electrochemical potential.
J. Bockris, Kei Murakoshi, Manabu Kiguchi, Tatsuya Konishi   +3 more
core   +1 more source

Enhanced spatial pyramid matching using log-polar-based image subdivision and representation [PDF]

, 2010
This paper presents a new model for capturing spatial information for object categorization with bag-of-words (BOW). BOW models have recently become popular for the task of object recognition, owing to their good performance and simplicity. Much work has
Mayo, Michael, Zhang, Edmond Yiwen
core   +2 more sources

Data‐driven performance metrics for neural network learning

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri, Mauro Gaggero, Marcello Sanguineti   +2 more
wiley   +1 more source

Histogram analysis of diffusion-weighted magnetic resonance imaging as a biomarker to predict LNM in T3 stage rectal carcinoma

BMC Medical Imaging, 2021
Background Preoperative identification of rectal cancer lymph node status is crucial for patient prognosis and treatment decisions. Rectal magnetic resonance imaging (MRI) plays an essential role in the preoperative staging of rectal cancer, but its ...
Yang Zhou, Rui Yang, Yuan Wang, Meng Zhou, Xueyan Zhou, JiQing Xing, Xinxin Wang, Chunhui Zhang   +7 more
doaj   +1 more source

Technical Note: Enhancing Soft Tissue Contrast And Radiation‐Induced Image Changes With Dual‐Energy CT For Radiation Therapy [PDF]

, 2018
Purpose The purpose of this work is to investigate the use of low‐energy monoenergetic decompositions obtained from dual‐energy CT (DECT) to enhance image contrast and the detection of radiation‐induced changes of CT textures in pancreatic cancer ...
Alvarez, Chen, Feng, Frellessen, Hardie, Herfarth, Johnson, Kalra, Kaup, Mayer, Morrow, Noid, Schneider, Sudarski, Sudarski, Watanabe, Wichmann, Yu   +17 more
core   +2 more sources

Colour Transfer by Feature Based Histogram Registration [PDF]

Procedings of the British Machine Vision Conference 2007, 2007
This paper addresses the problem of automatically eliminating unwanted colour variation between similar image pairs. We propose a feature-based registration method to align colour histograms without any spatial processing of the image content or assumptions about the scene contents. We use the method for the colour transfer problem.
Christopher Rohan Senanayake, Daniel C. Alexander   +1 more
openaire   +2 more sources

APPLICATION OF FURIA FOR FINDING THE FAULTS IN A HYDRAULIC BRAKE SYSTEM USING A VIBRATION ANALYSIS THROUGH A MACHINE LEARNING APPROACH

International Journal of Prognostics and Health Management, 2019
Vibration-based continuous monitoring system for fault diagnosis of automobile hydraulic brake system is presented in this study. This study uses a machine learning approach for the fault diagnosis study. A hydraulic brake system test rig was fabricated.
Alamelu Manghai T. M , Jegadeeshwaran R
doaj   +1 more source

Differentiable Histogram with Hard-Binning [PDF]

arXiv, 2020
The simplicity and expressiveness of a histogram render it a useful feature in different contexts including deep learning. Although the process of computing a histogram is non-differentiable, researchers have proposed differentiable approximations, which have some limitations.
arxiv