Dynamic Adaptive Label Assignment for Tiny Object Detection in Remote Sensing Images
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT With the development of unmanned aerial vehicle and satellite technology, the application of tiny object detection in remote sensing images is becoming increasingly widespread. Although significant progress has been made in the accuracy and speed of object detection in recent years, performance declines sharply when general object detectors ...
Shuohao Shi, Qiang Fang, Xin Xu
wiley +1 more source
Markov-Switching Model Selection Using Kullback-Leibler Divergence [PDF]
In Markov-switching regression models, we use Kullback-Leibler (KL) divergence between the true and candidate models to select the number of states and variables simultaneously.
Naik, Prasad A. +2 more
core +1 more source
TNCOA: Efficient Exploration via Observation‐Action Constraint on Trajectory‐Based Intrinsic Reward
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Efficient exploration is critical in handling sparse rewards and partial observability in deep reinforcement learning. However, most existing intrinsic reward methods based on novelty rely on single‐step observations or Euclidean distances.
Jingxiang Ma, Hongbin Ma, Youzhi Zhang
wiley +1 more source
Demand Estimation with Text and Image Data
The RAND Journal of Economics, EarlyView.ABSTRACT We propose a demand estimation approach that leverages unstructured data to infer substitution patterns. Using pre‐trained deep learning models, we extract embeddings from product images and textual descriptions and incorporate them into a mixed logit demand model.
Giovanni Compiani +2 more
wiley +1 more source
On Weighted Kullback–Leibler Divergence for Doubly Truncated Random Variables
Revstat Statistical Journal, 2019 In this communication, we study doubly truncated weighted Kullback–Leibler divergence (KLD) between two nonnegative random variables. The proposed measure is a generalization of the dynamic weighted KLD introduced by Yasaei Sekeh et al. (2013).
Rajesh Moharana , Suchandan Kayal
doaj +1 more source
Kullback-Leibler Divergence of Sleep-Wake Patterns Related with Depressive Severity in Patients with Epilepsy. [PDF]
Brain Sci, 2023 Liu M +5 more
europepmc +1 more source
Audit Quality From a Service Perspective: A Systematic Literature Review
Accounting Perspectives, EarlyView.ABSTRACT Audit quality is a multidimensional and latent construct that researchers struggle to evaluate and interpret. This paper follows an interdisciplinary approach by systematically reviewing the literature on audit quality evaluation from a service quality perspective.
Lise Muriel Botha +3 more
wiley +1 more source
Applying the maximum entropy principle to neural networks enhances multi‐species distribution models
Methods in Ecology and Evolution, EarlyView.Abstract The increasing volume of presence‐only (PO) data generated by citizen science initiatives has greatly expanded biodiversity databases, but the statistical use of these data in species distribution models (SDMs) remains limited by strong sampling biases and the absence of reliable absence information.
Maxime Ryckewaert +5 more
wiley +1 more source
The fuzzy Kullback-Leibler divergence for estimating parameters of the probability distribution in fuzzy data: an application to classifying Vietnamese Herb Leaves. [PDF]
Sci Rep, 2023 Le H, Sang VNT, Lam Thuy LN, Bao PT.
europepmc +1 more source
Assessing novelty, feasibility and value of creative ideas with an unsupervised approach using GPT‐4
British Journal of Psychology, EarlyView.Abstract Creativity is defined by three key factors: novelty, feasibility and value. While many creativity tests focus primarily on novelty, they often neglect feasibility and value, thereby limiting their reflection of real‐world creativity. In this study, we employ GPT‐4, a large language model, to assess these three dimensions in a Japanese‐language
Felix B. Kern +2 more
wiley +1 more source