Results 111 to 120 of about 136,474,496 (243)
An Introduction to Predictive Processing Models of Perception and Decision‐Making
Abstract The predictive processing framework includes a broad set of ideas, which might be articulated and developed in a variety of ways, concerning how the brain may leverage predictive models when implementing perception, cognition, decision‐making, and motor control.
Mark Sprevak, Ryan Smith
wiley +1 more source
Visual Tracking with Autoencoder-Based Maximum A Posteriori Data Fusion [PDF]
In this paper, a novel method for tracker fusion is proposed and evaluated for vision-based object tracking. This work combines three distinct popular techniques into a recursive Bayesian estimation algorithm.
Odone, Francesca +14 more
core +1 more source
ADAPT: An Autonomous Forklift for Construction Site Operation
ABSTRACT Efficient material logistics are critical in controlling costs and schedules in the construction industry. However, manual material handling remains prone to inefficiencies, delays, and safety risks. Autonomous forklifts offer a solution to streamline on‐site logistics, reducing reliance on human operators and mitigating labor shortages.
Johannes Huemer +12 more
wiley +1 more source
A Maximum a Posteriori Sound Source Localization in Reverberant and Noisy Conditions
A Maximum a Posteriori Sound Source Localization in Reverberant and Noisy ...
Jinho Choi (13076106) +1 more
core +1 more source
This paper presents a study on the influence of the extrinsic information scaling coefficient value (eic) on the bit and frame error rate (BER/FER), for single and double binary turbo codes (S/DBTC) decoded with maximum a posteriori (MAP) and maximum ...
BALTA, H., DOUILLARD, C.
doaj +1 more source
Residual-type a posteriori error estimates in the maximum norm are given for singularly perturbed semilinear reaction-diffusion equations posed in polygonal domains. Linear finite elements are considered on anisotropic triangulations. The error constants
NATALIA KOPTEVA (12353197) +1 more
core
Maximum a Posteriori Estimation of Coupled Hidden Markov Models.
Coupled Hidden Markov Models (CHMM) are a tool which model interactions between variables in state space rather than observation space. Thus they may reveal coupling in cases where classical tools such as correlation fail.
core +1 more source
Probably Approximately Correct Maximum A Posteriori Inference
7 pages main text, 16 total, 3 ...
Matthew Shorvon +2 more
openaire +2 more sources
Spaceborne Distributed Array Processing for Precision Source Localization
ABSTRACT Satellite‐based signals intelligence and spectrum sensing increasingly rely on low‐latency signal localization. However, operational processing chains often remain ground‐based, stressing feeder links and limiting scalability as constellations grow.
Dany Mestas +4 more
wiley +1 more source
ABSTRACT As society continues to develop, hydrogen has emerged as a promising fuel for maritime decarbonization. This study develops an integrated environmental and economic assessment framework for the Vancouver Fraser Port Authority (VFPA) by combining life‐cycle assessment, levelized cost analysis, and multi‐criteria decision analysis across 36 ...
Ziyu Wang, Xueyan Lin, Chunjiang An
wiley +1 more source

