A critical overview of outlier detection methods
A Smiti - Computer Science Review, 2020 - Elsevier
One of the opening steps towards obtaining a reasoned analysis is the detection of outlaying
observations. Even if outliers are often considered as a miscalculation or noise, they may …
observations. Even if outliers are often considered as a miscalculation or noise, they may …
Methodi Ordinatio 2.0: revisited under statistical estimation, and presenting FInder and RankIn
The assessment of scientific articles regarding their relevance to a research portfolio is
becoming increasingly important. The reason is that scientific works have been growing …
becoming increasingly important. The reason is that scientific works have been growing …
3-D data processing to extract vehicle trajectories from roadside LiDAR data
High-resolution vehicle data including location, speed, and direction is significant for new
transportation systems, such as connected-vehicle applications, micro-level traffic …
transportation systems, such as connected-vehicle applications, micro-level traffic …
Eigendecomposition-free training of deep networks with zero eigenvalue-based losses
Abstract Many classical Computer Vision problems, such as essential matrix computation
and pose estimation from 3D to 2D correspondences, can be solved by finding the …
and pose estimation from 3D to 2D correspondences, can be solved by finding the …
Suitability of different machine learning outlier detection algorithms to improve shale gas production data for effective decline curve analysis
Shale gas reservoirs have huge amounts of reserves. Economically evaluating these
reserves is challenging due to complex driving mechanisms, complex drilling and …
reserves is challenging due to complex driving mechanisms, complex drilling and …
Re-weighting and 1-Point RANSAC-Based PP Solution to Handle Outliers
H Zhou, T Zhang, J Jagadeesan - IEEE transactions on pattern …, 2018 - ieeexplore.ieee.org
The ability to handle outliers is essential for performing the perspective-n-point (PnP)
approach in practical applications, but conventional RANSAC+ P3P or P4P methods have …
approach in practical applications, but conventional RANSAC+ P3P or P4P methods have …
Tightly coupled GNSS/INS integration based on robust M-estimators
The combination of Global Navigation Satellite Systems (GNSS) and Inertial Navigation
System (INS) has become the baseline of many vehicular applications. However, in …
System (INS) has become the baseline of many vehicular applications. However, in …
Power-grid controller anomaly detection with enhanced temporal deep learning
Controllers of security-critical cyber-physical systems, like the power grid, are a very
important class of computer systems. Attacks against the control code of a power-grid …
important class of computer systems. Attacks against the control code of a power-grid …
Pedestrian and bicyclist identification through micro Doppler signature with different approaching aspect angles
R Du, Y Fan, J Wang - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
In realistic road scenarios, two main urban hazards, pedestrians and bicyclists, can
approach the radar from any aspect angle which will affect the ability of a radar system to …
approach the radar from any aspect angle which will affect the ability of a radar system to …
Eigendecomposition-free training of deep networks for linear least-square problems
Many classical Computer Vision problems, such as essential matrix computation and pose
estimation from 3D to 2D correspondences, can be tackled by solving a linear least-square …
estimation from 3D to 2D correspondences, can be tackled by solving a linear least-square …