Methods, databases and recent advancement of vision-based hand gesture recognition for hci systems: A review
Hand gesture recognition is viewed as a significant field of exploration in computer vision
with assorted applications in the human–computer communication (HCI) community. The …
with assorted applications in the human–computer communication (HCI) community. The …
Point cloud voxel classification of aerial urban LiDAR using voxel attributes and random forest approach
The opportunities now afforded by increasingly available, dense, aerial urban LiDAR point
clouds (greater than100 pts/m2) are arguably stymied by their sheer size, which precludes …
clouds (greater than100 pts/m2) are arguably stymied by their sheer size, which precludes …
Application of machine learning algorithms in plant breeding: predicting yield from hyperspectral reflectance in soybean
Recent substantial advances in high-throughput field phenotyping have provided plant
breeders with affordable and efficient tools for evaluating a large number of genotypes for …
breeders with affordable and efficient tools for evaluating a large number of genotypes for …
Face detection with different scales based on faster R-CNN
W Wu, Y Yin, X Wang, D Xu - IEEE transactions on cybernetics, 2018 - ieeexplore.ieee.org
In recent years, the application of deep learning based on deep convolutional neural
networks has gained great success in face detection. However, one of the remaining open …
networks has gained great success in face detection. However, one of the remaining open …
A fusion approach for efficient human skin detection
A reliable human skin detection method that is adaptable to different human skin colors and
illumination conditions is essential for better human skin segmentation. Even though …
illumination conditions is essential for better human skin segmentation. Even though …
Combining convolutional and recurrent neural networks for human skin detection
Skin detection from images, typically used as a preprocessing step, has a wide range of
applications such as dermatology diagnostics, human computer interaction designs, and etc …
applications such as dermatology diagnostics, human computer interaction designs, and etc …
A Random Forest-based ensemble method for activity recognition
Z Feng, L Mo, M Li - … Conference of the IEEE Engineering in …, 2015 - ieeexplore.ieee.org
This paper presents a multi-sensor ensemble approach to human physical activity (PA)
recognition, using random forest. We designed an ensemble learning algorithm, which …
recognition, using random forest. We designed an ensemble learning algorithm, which …
Gesture recognition in ego-centric videos using dense trajectories and hand segmentation
We present a novel method for monocular hand gesture recognition in ego-vision scenarios
that deals with static and dynamic gestures and can achieve high accuracy results using a …
that deals with static and dynamic gestures and can achieve high accuracy results using a …
Drifted Twitter spam classification using multiscale detection test on KL divergence
Twitter spam classification is a tough challenge for social media platforms and cyber security
companies. Twitter spam with illegal links may evolve over time in order to deceive filtering …
companies. Twitter spam with illegal links may evolve over time in order to deceive filtering …
Increasing the views and reducing the depth in random forest
Random forest (RF) is one of the most powerful ensemble methods with high performance
when dealing with high dimensional data. In this paper, we present a novel approach …
when dealing with high dimensional data. In this paper, we present a novel approach …