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Online pruning of base classifiers for dynamic ensemble selection
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 …
competent classifiers for the classification of each test sample. The key issue in DES is how …
K-nearest oracles borderline dynamic classifier ensemble selection
Dynamic Ensemble Selection (DES) techniques aim to select locally competent classifiers
for the classification of each new test sample. Most DES techniques estimate the …
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 …
and aggregate the large-scale candidate search results efficiently. Much work has been …
Adaptive biometric systems using ensembles
With the increased availability of online services, enhanced authentication mechanisms-
including biometric systems-are necessary. However, recent studies show that biometric …
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 …
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 …
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
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 …
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 …
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 …
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
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 …
from automatic user login for financial activities and access to restricted areas, to …