Results 81 to 90 of about 649,643 (307)
Advanced Robotics Research, EarlyView.Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
High level excursion set geometry for non-Gaussian infinitely divisible random fields
, 2013 We consider smooth, infinitely divisible random fields $(X(t),t\in M)$, $M\subset {\mathbb{R}}^d$, with regularly varying Levy measure, and are interested in the geometric characteristics of the excursion sets \[A_u=\{t\in M:X(t)>u\}\] over high levels u.
Adler, Robert J. +2 more
core +1 more source
Multimodal obstacle detection in unstructured environments with conditional random fields [PDF]
J. Field Robotics, 2017 Reliable obstacle detection and classification in rough and unstructured terrain such as agricultural fields or orchards remains a challenging problem.
M. K. Hansen, J. Underwood
semanticscholar +1 more source
Advanced Science, EarlyView.Particulate matter ≤2.5 µm (PM2.5) elevates risks of neurological and chronic metabolic diseases, but the underlying mechanisms linking PM2.5‐induced central nervous system (CNS) injury to metabolic dysfunction remain unclear. Hypothalamic pro‐opiomelanocortin‐expressing (POMC+) neurons regulate systemic metabolic homeostasis, and tripartite motif ...
Chenxu Ge +21 more
wiley +1 more source
CONDITIONAL SIMULATION OF SPATIOTEMPORAL RANDOM FIELDS OF ENVIRONMENTAL CONTAMINATION
TASK Quarterly, 2006 The paper considers a method of conditional simulation of spatiotemporal scalar random fields of certain environmental phenomena. The method can be used to predict field values at given space points at specified time, on the basis of field values at ...
ROBERT JANKOWSKI, HENRYK WALUKIEWICZ
doaj
Clustering of Wall Geometry from Unstructured Point Clouds Using Conditional Random Fields
Remote Sensing, 2019 The automated reconstruction of Building Information Modeling (BIM) objects from point cloud data is still subject of ongoing research. A vital step in the process is identifying the observations for each wall object.
Maarten Bassier, Maarten Vergauwen
doaj +1 more source
Hidden conditional random fields for classification of imaginary motor tasks from EEG data [PDF]
, 2011 Brain-computer interfaces (BCIs) are systems that allow the control of external devices using information extracted from brain signals. Such systems find application in rehabilitation of patients with limited or no muscular control. One mechanism used in
Delgado Saa, Jaime Fernando +1 more
core
Conrad: Gene prediction using conditional random fields [PDF]
Genome Research, 2007 We present Conrad, the first comparative gene predictor based on semi-Markov conditional random fields (SMCRFs). Unlike the best standalone gene predictors, which are based on generalized hidden Markov models (GHMMs) and trained by maximum likelihood, Conrad is discriminatively trained to maximize annotation accuracy.
David, DeCaprio +5 more
openaire +2 more sources
Advanced Science, EarlyView.This study identifies elevated taurocholic acid (TCA) in Major Depressive Disorder patients. Gut microbiome‐associated TCA impairs hippocampal neurogenesis, triggers microglia activation, and elicits depression‐like behavior in mice via the S1PR2. In patients, functional neuroimaging reveals that serum TCA levels correlate with altered functional ...
Xiaoying Cai +12 more
wiley +1 more source
Conditional Random Fields for XML Applications [PDF]
, 2008 XML tree labeling is the problem of classifying elements in XML documents. It is a fundamental task for applications like XML transformation, schema matching, and information extraction.
Gilleron, Rémi +3 more
core +2 more sources