Search Results for author:
Found 9 papers, 1 papers with code
Local Observability of VINS and LINS
This work analyzes unobservable directions of Vision-aided Inertial Navigation System (VINS) and Lidar-aided Inertial Navigation System (LINS) nonlinear model.
Context-aware Communication for Multi-agent Reinforcement Learning
Following this, agents utilize attention mechanisms in the second stage to selectively generate messages personalized for the receivers.
ProsDectNet: Bridging the Gap in Prostate Cancer Detection via Transrectal B-mode Ultrasound Imaging
We trained and validated ProsDectNet using a cohort of 289 patients who underwent MRI-TRUS fusion targeted biopsy.
AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning
Learning communication strategies in cooperative multi-agent reinforcement learning (MARL) has recently attracted intensive attention.
Multi-agent Reinforcement Learning
reinforcement-learning
+2
Composition and Application of Current Advanced Driving Assistance System: A Review
Due to the growing awareness of driving safety and the development of sophisticated technologies, advanced driving assistance system (ADAS) has been equipped in more and more vehicles with higher accuracy and lower price.
Randomization Inference beyond the Sharp Null: Bounded Null Hypotheses and Quantiles of Individual Treatment Effects
We show that exact confidence intervals for the maximum (or minimum) unit-level effect can be obtained by inverting tests for a sequence of bounded nulls.
Methodology Statistics Theory Statistics Theory
Perceptual Robust Hashing for Color Images with Canonical Correlation Analysis
Local color features of significant corner points on outer boundaries of ring-ribbons are extracted through color vector angles (CVA), and color low-order moments (CLMs) is utilized to extract global color features.
Rerandomization and Regression Adjustment
R. A. Fisher suggested blocking on discrete covariates in the design stage or conducting analysis of covariance (ANCOVA) in the analysis stage.
Statistics Theory Methodology Statistics Theory
Evolving the pulmonary nodules diagnosis from classical approaches to deep learning aided decision support: three decades development course and future prospect
Lung cancer is the commonest cause of cancer deaths worldwide, and its mortality can be reduced significantly by performing early diagnosis and screening.
