Constrained coding regions: https://github.com/quinlan-lab/ccrhtml Database of human chromosomal fragile sites: http://webs.iiitd.edu.in/raghava/humcfs FunSeq2: http://funseq2.gersteinlab.org Deep learning-based
robin-hood-hashing - Fast & memory efficient hashtable based on robin hood hashing for C++14. [MIT] robin-map - Fast hash map and hash set using robin hood hashing. [MIT] sparsepp - A fast, memory efficient hash map for C++. [BSD 3-clause] sqlitemap - Persistent map backed by SQLi...
Thus, a new fault detection method based on the shock-response convolutional sparse-coding technique (SRCSCT) is proposed in this paper and is applied to fault detection and behaviour characterization in the wheelset bearing of a high-speed train. This paper is organized as follows. The ...
In urban sensor networks, different kinds of sensors have huge differences in their power, frequency band and band width, which is determined by the communication protocols adopted and results in the diversity of sensor network deployment styles. Based on the surveyed results inFig. 1and combined ...
Visual features extracted by retinal circuits are streamed into higher visual areas (HVAs) after being processed along the visual hierarchy. However, how specialized neuronal representations of HVAs are built, based on retinal output channels, remained u
Animals make predictions to guide their behavior and update those predictions through experience. Transient increases in dopamine (DA) are thought to be critical signals for updating predictions. However, it is unclear how this mechanism handles a wide r
2.2.1 Gradient-Based Detectors A gradient-based corner response prefers the use of the first-order information in image to distinguish the corner feature. The earliest automatic corner detection method could be traced to Moravec detector (Moravec 1977), which first introduced the concept of “intere...
H. (2012). Efficient online structured output learning for keypoint-based object tracking. In IEEE proceedings of international conference on computer vision and pattern recognition (CVPR) (pp. 1894–1901). IEEE. Heisele, B., Serre, T., Prentice, S., & Poggio, T. (2003). Hierarchical ...
retinaface - deep learning based cutting-edge facial detector for Python coming with facial landmarks dockerface - Easy to install and use deep learning Faster R-CNN face detection for images and video in a docker container. [Deprecated] Detectron - FAIR's software system that implements state-...
RQ2 consolidates various techniques and methods used for deception detection, seeking to determine their effectiveness and the contributing factors, including the context, characteristics of the deceiver and detector, and the nature of deception. Lastly, RQ3 endeavors to pinpoint and analyze the ...