Results 31 to 40 of about 10,230,762 (291)
Deep Learning Techniques for Vehicle Detection and Classification from Images/Videos: A Survey
Sensors, 2023 Detecting and classifying vehicles as objects from images and videos is challenging in appearance-based representation, yet plays a significant role in the substantial real-time applications of Intelligent Transportation Systems (ITSs).
Michael Abebe Berwo +7 more
doaj +1 more source
Retail commodity detection method based on location learnable visual center mechanism
物联网学报, 2023 To address the problem of low detection accuracy caused by the difficulty in effectively capturing significant and diversified feature information for packaging deformation and overlap products, a location learnable visual center (LLVC) mechanism was ...
Xiaohua LYU, Mingchen WEI, Libo LIU
doaj
Loss Reserving Using Loss Aversion Functions [PDF]
SSRN Electronic Journal, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Choo, Weihao, De Jong, Piet
openaire +1 more source
Handling negative mentions on social media channels using deep learning
Journal of Information and Telecommunication, 2019 Social media channels such as social networks, forum or online blogs have been emerging as major sources from which brands can gather user opinions about their products, especially the negative mentions.
Khuong Vo +6 more
doaj +1 more source
Loss Functions for Loss Estimation
The Annals of Statistics, 1988 Let X be a random variable with distribution \(P_{\theta}\), where \(\theta\in \Theta\), and d(X) a decision for \(\theta\) with loss W(\(\theta\),d(X)). A class of loss functions combining the decision error W(\(\theta\),d(X)) and the error in estimating W(\(\theta\),d(X)) by h(X) is introduced. Under these loss functions the Bayes procedure \((d_ B(X)
openaire +3 more sources
Mask RCNN-based Single Shot Multibox Detector For Gesture Recognition In Physical Education
Journal of Applied Science and Engineering, 2022 Human-computer interaction (HCI) is an important supporting technology in the computer vision area, especially in physical education. HCI can promote the efficiency of physical education class, which is of great help to improve the learning efficiency ...
Tao Feng
doaj +1 more source
GapLoss: a loss function for semantic segmentation of roads in remote sensing images
, 2022 openAttualmente l’analisi della continuità stradale nelle immagini satellitari è una sfida complessa dovuta alla difficoltà nell’individuare il vettore direzionale dei tratti stradali, soprattutto quando la vista satellitare delle strade è ostruita ...
MARCON, KRISTIAN
core
Applied Sciences, 2023 A memory-type control chart is an important tool of statistical process control for monitoring small to moderate shifts in the manufacturing process. Using the prior information by the Bayesian approach is helpful in control charts.
Imad Khan +5 more
doaj +1 more source
The loss function of sensorimotor learning [PDF]
Proceedings of the National Academy of Sciences, 2004 Motor learning can be defined as changing performance so as to optimize some function of the task, such as accuracy. The measure of accuracy that is optimized is called a loss function and specifies how the CNS rates the relative success or cost of a particular movement outcome.
Konrad Paul, Körding, Daniel M, Wolpert
openaire +2 more sources
On the Universality of the Logistic Loss Function [PDF]
2018 IEEE International Symposium on Information Theory (ISIT), 2018 A loss function measures the discrepancy between the true values (observations) and their estimated fits, for a given instance of data. A loss function is said to be proper (unbiased, Fisher consistent) if the fits are defined over a unit simplex, and the minimizer of the expected loss is the true underlying probability of the data.
Amichai Painsky, Gregory W. Wornell
openaire +4 more sources