Results 81 to 90 of about 167,567 (320)

Person Re-identification by Local Maximal Occurrence Representation and Metric Learning [PDF]

, 2015
Person re-identification is an important technique towards automatic search of a person's presence in a surveillance video. Two fundamental problems are critical for person re-identification, feature representation and metric learning.
Hu, Yang, Li, Stan Z., Liao, Shengcai, Zhu, Xiangyu   +3 more
core   +1 more source

Analysis of the Longitudinal Behavior of Serum Levels of Soluble Flt1 and Placental Growth Factor in Pregnant Patients With Systemic Lupus Erythematosus

Arthritis Care &Research, EarlyView.
Objective This study analyzed longitudinal trajectories of soluble Flt1 (sFlt1) levels, placenta growth factor (PlGF) levels, and sFlt1:PlGF ratios in a cohort of pregnant patients with systemic lupus erythematosus (SLE). Methods Blood samples were collected (14–18, 24–26, 30–32, 34–36, and 38–40 weeks), stored at −80°C, and evaluated for serum levels ...
Nilson R. de Jesús, Guilherme R. de Jesús, Marcela I. Lacerda, Flávia C. dos Santos, Jeane de S Nogueira, Luiz Cristóvão Porto, Evandro S. F. Coutinho, Evandro M. Klumb   +7 more
wiley   +1 more source

Scale‐invariant feature matching based on pairs of feature points

IET Computer Vision, 2015
On the basis of feature points pairing, a scale‐invariant feature matching method is proposed in this study. The distance between two features is used to compute feature pairs' support region size, which is different from the methods using detectors to ...
Zhiheng Wang, Zhifei Wang, Hongmin Liu, Zhanqiang Huo   +3 more
doaj   +1 more source

Gender Recognition Based on Sift Features

, 2011
This paper proposes a robust approach for face detection and gender classification in color images. Previous researches about gender recognition suppose an expensive computational and time-consuming pre-processing step in order to alignment in which face
Yousefi, Sahar, Zahedi, Morteza
core   +1 more source

Robust image matching algorithm using SIFT on multiple layered strategies [PDF]

, 2013
As for the unsatisfactory accuracy caused by SIFT (scale-invariant feature transform) in complicated image matching, a novel matching method on multiple layered strategies is proposed in this paper. Firstly, the coarse data sets are filtered by Euclidean
Chen, Y., Hu, E., Shang, L.
core   +3 more sources

On the use of SIFT features for face authentication [PDF]

, 2006
Several pattern recognition and classification techniques have been applied to the biometrics domain. Among them, an interesting technique is the Scale Invariant Feature Transform (SIFT), originally devised for object recognition.
Bicego, Manuele, Grosso, Enrico, Lagorio, Andrea, Tistarelli, Massimo   +3 more
core   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Three-dimensional pose estimation model for object with complex surface

Advances in Mechanical Engineering, 2015
The proposed three-dimensional pose estimation model for object with complex surface, which primarily absorbs the essence of scale-invariant feature transform and iterative closest point algorithm, includes two steps, off-line and online.
Ronghua Li, Yong Chen, Changjiu Zhou, Liandong Zhang   +3 more
doaj   +1 more source

Lorentz violation, Gravity, Dissipation and Holography [PDF]

, 2012
We reconsider Lorentz Violation (LV) at the fundamental level. We show that Lorentz Violation is intimately connected with gravity and that LV couplings in QFT must always be fields in a gravitational sector.
A Dhar, A Kehagias, A Sen, AG Cohen, B Gouteraux, BS Kim, C Burgess, C Charmousis, C Csáki, C Grojean, D Andriot, D Anselmi, D Anselmi, D Blas, D Blas, D Colladay, D Colladay, D Mattingly, DJH Chung, DT Son, E Kiritsis, E Kiritsis, E Kiritsis, E Kiritsis, E Kiritsis, E Kiritsis, E Kiritsis, E Kiritsis, E Kiritsis, E Kiritsis, Elias Kiritsis, G Amelino-Camelia, G Barnich, G Dvali, GD Moore, GR Kalbfleisch, GW Gibbons, H Kleinert, H Osborn, HB Nielsen, I Antoniadis, I Antoniadis, I Antoniadis, I Fuini, J Alspector, J Boer de, J Casalderrey-Solana, J Casalderrey-Solana, J Collins, J Iliopoulos, J Khoury, J McGreevy, JD Jackson, JM Cornwall, JP Derendinger, JW Elliott, KR Dienes, M Baggio, M Jarvinen, M Mucha-Kruczynski, M Nagano, M Porrati, M Smiciklas, MJ Duff, MJ Longo, N Arkani-Hamed, N Arkani-Hamed, N Arkani-Hamed, N Seiberg, O Pujolàs, P Adamson, P Anastasopoulos, P Hořava, P Hořava, P Kraus, R Bluhm, R Brustein, R Casero, RC Myers, S Chadha, S Deser, S Groot Nibbelink, S Kachru, S Mukohyama, S Mukohyama, SHS Alexander, SR Coleman, SR Coleman, SS Gubser, SS Gubser, T Adam, T Faulkner, T Griffin, T Jacobson, U Gürsoy, U Gürsoy, VA Kostelecky, VA Kostelecky, W Chemissany   +98 more
core   +4 more sources

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source