Twenty years of mixture of experts
In this paper, we provide a comprehensive survey of the mixture of experts (ME). We discuss
the fundamental models for regression and classification and also their training with the …
the fundamental models for regression and classification and also their training with the …
Context-dependent multisensor fusion and its application to land mine detection
We present a novel method for fusing the results of multiple land mine detection algorithms
which use different sensors, features, and different classification methods. The proposed …
which use different sensors, features, and different classification methods. The proposed …
Multiple-instance hidden markov models with applications to landmine detection
A novel multiple-instance hidden Markov model (MI-HMM) is introduced for classification of
time-series data, and its training is developed using stochastic expectation maximization …
time-series data, and its training is developed using stochastic expectation maximization …
On choosing training and testing data for supervised algorithms in ground-penetrating radar data for buried threat detection
D Reichman, LM Collins… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Ground-penetrating radar (GPR) is one of the most popular and successful sensing
modalities that have been investigated for landmine and subsurface threat detection. Many …
modalities that have been investigated for landmine and subsurface threat detection. Many …
Adaptive coherence estimator (ace) for explosive hazard detection using wideband electromagnetic induction (wemi)
The adaptive coherence estimator (ACE) estimates the squared cosine of the angle between
a known target vector and a sample vector in a transformed coordinate space. The space is …
a known target vector and a sample vector in a transformed coordinate space. The space is …
Passive mine detection and classification method based on hybrid model
C Yilmaz, HT Kahraman, S Söyler - IEEE Access, 2018 - ieeexplore.ieee.org
At present, active detectors are commonly used for detection of land mines. Land mines can
be detected with high precision through active detectors. However, the operating principle of …
be detected with high precision through active detectors. However, the operating principle of …
Preprocessing of A-scan GPR data based on energy features
M Dogan, G Turhan-Sayan - Detection and sensing of mines …, 2016 - spiedigitallibrary.org
There is an increasing demand for noninvasive real-time detection and classification of
buried objects in various civil and military applications. The problem of detection and …
buried objects in various civil and military applications. The problem of detection and …
Modeling the measured em induction response of targets as a sum of dipole terms each with a discrete relaxation frequency
WR Scott, GD Larson - 2010 IEEE International Geoscience …, 2010 - ieeexplore.ieee.org
Broadband electromagnetic induction (EMI) sensors have been shown to be able to reduce
false alarm rates and increase the probability of detecting landmines. To aid in the …
false alarm rates and increase the probability of detecting landmines. To aid in the …
On the use of multiresolution analysis for subsurface object detection using deep ground penetrating radar
DKC Ho, P Plodpradista - Detection and Sensing of Mines …, 2019 - spiedigitallibrary.org
New ground penetrating radars for the vehicle mounted system can penetrate further into the
ground, providing the opportunity of detecting objects that are deeply buried. A deep target …
ground, providing the opportunity of detecting objects that are deeply buried. A deep target …
Context‐based classification via mixture of hidden Markov model experts with applications in landmine detection
In many applications data classification may be hindered by the existence of multiple
contexts that produce an input sample. To alleviate the problems associated with multiple …
contexts that produce an input sample. To alleviate the problems associated with multiple …