Results 81 to 90 of about 168,985 (282)

Language‐Guided Robot Grasping Based on Basic Geometric Shape Fitting

Advanced Intelligent Systems, EarlyView.
This article presents a language‐guided, model‐free grasping framework that integrates multimodal perception with primitive‐based geometric fitting. By explicitly modeling object geometry from RGB‐D data, the method enables semantically controllable grasp pose generation and achieves robust performance in both structured and cluttered real‐world ...
Qun Niu, Chuanlin Zhang, Tianyu Zhang, Jieliang Zhao, Tie Fu, Xuemei Chen   +5 more
wiley   +1 more source

Learning Algorithm of Boltzmann Machine Based on Spatial Monte Carlo Integration Method

Algorithms, 2018
The machine learning techniques for Markov random fields are fundamental in various fields involving pattern recognition, image processing, sparse modeling, and earth science, and a Boltzmann machine is one of the most important models in Markov random ...
Muneki Yasuda
doaj   +1 more source

Revisiting a long‐overlooked skull: Implications for the distribution of Dinodontosaurus brevirostris (Kannemeyeriiformes) in the Brazilian Triassic

The Anatomical Record, EarlyView.
Abstract Dicynodonts (Anomodontia: Dicynodontia) were one of the main groups of terrestrial tetrapods in Permian and Triassic faunas. In Brazil, the genus Dinodontosaurus is one of the most common tetrapod taxon in the Triassic Santa Maria Supersequence. This genus has a complex taxonomic history and is represented in the Triassic of both Argentina and
Julia Lara Rodrigues de Souza, João Lucas Da Silva, Voltaire D. P. Neto, Arielli Fabrício Machado, Juan A. Escobar, Felipe L. Pinheiro   +5 more
wiley   +1 more source

Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models

Applied Stochastic Models in Business and Industry, EarlyView.
ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco, Mirco Musolesi, Jason O'Sullivan, Rosie Prior, Ioanna Manolopoulou   +4 more
wiley   +1 more source

Markov Random Fields on Triangle Meshes [PDF]

, 2010
In this paper we propose a novel anisotropic smoothing scheme based on Markov Random Fields (MRF). Our scheme is formulated as two coupled processes. A vertex process is used to smooth the mesh by displacing the vertices according to a MRF smoothness ...
Aanæs, Henrik, Andersen, Vedrana, Bærentzen, Jakob Andreas, Nielsen, Mads   +3 more
core   +1 more source

Markov random topic fields [PDF]

Proceedings of the ACL-IJCNLP 2009 Conference Short Papers on - ACL-IJCNLP '09, 2009
Most approaches to topic modeling assume an independence between documents that is frequently violated. We present an topic model that makes use of one or more user-specified graphs describing relationships between documents. These graph are encoded in the form of a Markov random field over topics and serve to encourage related documents to have ...
openaire   +1 more source

The myth of the metabolic baseline: sleep–wake cycles undermine a foundational assumption in organismal biology

Biological Reviews, EarlyView.
ABSTRACT Basal and standard metabolic rate (BMR and SMR) are cornerstones of physiological ecology and are assumed to be relatively fixed intrinsic properties of organisms that represent the minimum energy required to sustain life. However, this assumption is conceptually flawed. Many core maintenance processes underlying SMR are temporally partitioned
Helena Norman, Daphne Cortese, Amelia Munson, Jan Lindström, Shaun S. Killen   +4 more
wiley   +1 more source

A Taxonomy of Predictive Maintenance as a Basis for Supra‐Regional Sustainability Monitoring—Literature Review

Business Strategy and the Environment, EarlyView.
ABSTRACT The concept of predictive maintenance in advanced manufacturing systems is crucial from the point of view of resource efficiency in the era of high competitiveness forced by energy transformation in the digital economy. Against the backdrop of sustainability and the opportunities a data cooperative offers, the combination of predictive ...
Christian Schachtner, Nadine Baumann, Marek Jabłoński, Adam Jabłoński, Mariusz Bednarek, Sławomir Luściński, Piotr Bilski   +6 more
wiley   +1 more source

Hyperspectral Image Classification Using Spectral-Spatial Dual Random Fields With Gaussian and Markov Processes

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
This article presents a novel hyperspectral image (HSI) classification approach that integrates the sparse inducing variational Gaussian process (SIVGP) with a spatially adaptive Markov random field (SAMRF), termed G-MDRF.
Yaqiu Zhang, Lizhi Liu, Xinnian Yang
doaj   +1 more source

Graphical Models Over Heterogeneous Domains and for Multilevel Networks

IEEE Access, 2018
We review models for analyzing multivariate data of mixed (heterogeneous) domains such as binary, categorical, ordinal, counts, continuous, and/or skewed continuous, and methods for modeling various graphs including multiplex, multilevel, and multilayer ...
Tamara Dimitrova, Ljupco Kocarev
doaj   +1 more source