Online pruning of base classifiers for dynamic ensemble selection

DVR Oliveira, GDC Cavalcanti, R Sabourin - Pattern Recognition, 2017 - Elsevier
Abstract Dynamic Ensemble Selection (DES) techniques aim to select only the most
competent classifiers for the classification of each test sample. The key issue in DES is how …

K-nearest oracles borderline dynamic classifier ensemble selection

DVR Oliveira, GDC Cavalcanti… - … Joint Conference on …, 2018 - ieeexplore.ieee.org
Dynamic Ensemble Selection (DES) techniques aim to select locally competent classifiers
for the classification of each new test sample. Most DES techniques estimate the …

An efficient top-k ranking method for service selection based on ε-ADMOPSO algorithm

W Yu, S Li, X Tang, K Wang - Neural Computing and Applications, 2019 - Springer
One of the main concerns in rank aggregation tasks for metasearch service is how to retrieve
and aggregate the large-scale candidate search results efficiently. Much work has been …

Adaptive biometric systems using ensembles

PH Pisani, AC Lorena… - IEEE Intelligent …, 2018 - ieeexplore.ieee.org
With the increased availability of online services, enhanced authentication mechanisms-
including biometric systems-are necessary. However, recent studies show that biometric …

Expression-based Security Framework for ATM Networks

SA Khan, AA Abbasi - 2022 International Conference on Digital …, 2022 - ieeexplore.ieee.org
In recent years, Automated Teller Machines (ATMs) are witnessed as the most widely used
gadgets which required personal identification numbers (PINs) for authentication along with …

Log identification of fluid types in tight sandstone reservoirs using an improved Stacking algorithm

PY SHI, SH XU, JM FENG, PD SHI, PQ ZHAO… - Progress in …, 2024 - en.dzkx.org
Tight sandstone reservoirs have poor physical properties. Resistivity logging data usually
reflect the lithological and physical properties of the formation, and the logging response …

An efficient PCA based pose and occlusion invariant face recognition system for video surveillance

AV Yoganand, AC Kavida, D Rukmanidevi - Cluster Computing, 2019 - Springer
In the proposed work introduced a pose-invariant face recognition process for the videos so
as todiminish the calculation intricacy of the traditional technique. The intended approach …

[HTML][HTML] 利用 Stacking 模型融合法识别高温, 高压储层流体

秦敏, 胡向阳, 梁玉楠, 袁伟, 杨冬 - 石油地球物理勘探, 2021 - html.rhhz.net
东方X 气田不同流体性质储层的测井响应差异不明显, 尤其难以确定不同流体的电阻率下限;
利用孔隙度测井曲线识别流体易受物性因素干扰, 使不同流体性质的样本数据点存在重叠区域 …

Software engineering process for develo** a person re-identification framework

JF Bustos, MÁ de la Torre Gómora… - 2018 7th International …, 2018 - ieeexplore.ieee.org
In video surveillance, different security spots are considered to be placed in unconstrained
locations. Cameras located on corridors, gateways and roads, have raised the need for new …

Metrological characterization of 3D biometric face recognition systems in actual operating conditions

G Betta, D Capriglione, M Corvino, A Lavatelli… - Acta Imeko, 2017 - diva-portal.org
Nowadays, face recognition systems are going to widespread in many fields of application,
from automatic user login for financial activities and access to restricted areas, to …