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Abstracts of Recent PhDs
2010
Knowledge engineering review (Print)
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An important goal of inductive learning is to generate accurate and compact classifiers from data. ...
and performing behavior recognition on spatio-temporal traces with dynamic team membership; (3) a general pruning technique based on coordination cues that improve the efficiency of plan recognition for ...
In this thesis, we are concerned with the design and investigation of dedicated programming languages for programming agents. ...
doi:10.1017/s0269888910000226
fatcat:rbhe2vtt4vburdupv7cjioqg4y
A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks
[article]
2020
arXiv
pre-print
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For Lidar or visual SLAM, the survey illustrates the basic type and product of sensors, open source system in sort and history, deep learning embedded, the challenge and future. ...
The open question and forward thinking with an envision in 6G wireless networks end the paper. ...
SuMa++ [47] computes semantic
segmentation results in point-wise labels for the whole
scan, allowing us to build a semantically-enriched map
with labeled surfels and improve the projective scan
matching ...
arXiv:1909.05214v4
fatcat:itnluvkewfd6fel7x65wdgig3e
Wide-area motion imagery (WAMI) exploitation tools for enhanced situation awareness
2012
2012 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)
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Our example uses the open-source Columbus Large Image Format (CLIF) WAMI data to demonstrate connection of video-based semantic labeling with other information fusion enterprise capabilities incorporating ...
future automated video understanding techniques. ...
Cues Cues (targets): Image processing for detection, segmentation, classification, and identification require extensions to semantics and SA, as shown in Fig. 4 . ...
doi:10.1109/aipr.2012.6528198
dblp:conf/aipr/BlaschSPLC12
fatcat:iv3ek6pdpfdkxkgob5ogynr56e
A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery
2017
IEEE Transactions on Biomedical Engineering
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Objective-State-of-the-art techniques for surgical data analysis report promising results for automated skill assessment and action recognition. ...
ones that aim to classify fixed segments: Bag of spatiotemporal Features and Linear Dynamical Systems. ...
Grace Chen and Carol Reiley for their contribution to data collection and annotation. We appreciate Simon P. DiMaio and Intuitive Surgical Inc. for their help in data collection and Balazs P. ...
doi:10.1109/tbme.2016.2647680
pmid:28060703
pmcid:PMC5559351
fatcat:xkhuzvvi7zckrf6at3dint7nsy
2019 Index IEEE Robotics and Automation Letters Vol. 4
2019
IEEE Robotics and Automation Letters
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., +, LRA April 2019 708-715 LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images. ...
Valente, J., +, LRA Oct. 2019 3216-3223 LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images. ...
Permanent magnets Adaptive Dynamic Control for Magnetically Actuated Medical Robots. ...
doi:10.1109/lra.2019.2955867
fatcat:ckastwefh5chhamsravandtnx4
Object-of-Interest Perception in a Reconfigurable Rolling-Crawling Robot
2022
Sensors
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and obstructed paths (e.g., with person, railing, stairs, static objects and wall) for crawling, respectively. ...
The proposed framework's performance is compared with semantic framework (HRNet and Deeplabv3) where the proposed framework outperforms in terms of mIOU and speed. ...
System Architecture In this version of the Scorpio robot platform, the BIOLOID system was implemented, including the Robo+ software for programming the interactions between the components of the system ...
doi:10.3390/s22145214
pmid:35890893
pmcid:PMC9315741
fatcat:njyegwwh7jfizhv52pz5aihkmy
Table of Contents
2022
IEEE Robotics and Automation Letters
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Kim Comparing Single Touch to Dynamic Exploratory Procedures for Robotic Tactile Object Recognition . ...
Choi Differential Dynamic Programming With Nonlinear Safety Constraints Under System Uncertainties . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/lra.2022.3165102
fatcat:enjzebowe5hn7hsfwklc7nieuy
Content-based image retrieval
2005
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval - MIR '05
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This has paved the way for a large number of new techniques and systems, and a growing interest in associated fields to support such systems. ...
We conclude with a study on the trends in volume and impact of publications in the field with respect to venues/journals and sub-topics. ...
An approach to soft annotation, using Bayes Point machines, to give images a confidence level for each trained semantic label has been explored in [14] . ...
doi:10.1145/1101826.1101866
dblp:conf/mir/DattaLW05
fatcat:puk37fqtbng77dwtjd7sjyz2xi
Online self-supervised multi-instance segmentation of dynamic objects
2014
2014 IEEE International Conference on Robotics and Automation (ICRA)
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The proposed system is evaluated using recall and false alarm metrics in addition to a new multi-instance labelled dataset to measure the performance of segmenting multiple instances of objects. ...
This paper presents a method for the continuous segmentation of dynamic objects using only a vehicle mounted monocular camera without any prior knowledge of the object's appearance. ...
ACKNOWLEDGMENT This research has been supported by the Australian Coal Association Research Program (ACARP). ...
doi:10.1109/icra.2014.6907020
dblp:conf/icra/BewleyGRU14
fatcat:6gqmr3gvsjcwpcvn63m444mnte
Unsupervised Semantic Segmentation Method of User Interface Component of Games
2022
Intelligent Automation and Soft Computing
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We developed synthetic labeling created on the game engine, image-to-image translation and segmented UI components in the game. ...
Our methodology can help researchers who need to extract semantic information from game image data. It can also be used for UI prototyping in the game industry. ...
Object detection and instance segmentation are highly interrelated. In object detection, researchers use a bounding box to detect each object instance of an image with a label for classification. ...
doi:10.32604/iasc.2022.019979
fatcat:v7v53o4vknfqrkcdj6f57kbrxm
Scanning the Issue
2020
IEEE transactions on intelligent transportation systems (Print)
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Siamese neural network is developed to model the environments in mapping, and then similarities can be measured to achieve place recognition for global localization. ...
Background subtraction is an example of a moving object detection technique that uses machine vision systems. ...
Robust Obstacle Detection and Recognition for Driver Assistance Systems J. Leng, Y. Liu, D. Du, T. Zhang, and P. ...
doi:10.1109/tits.2020.2980087
fatcat:zncxp7cluzgybbw3zjx4nxefti
Activity recognition and localization on a truck parking lot
2013
2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance
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The accuracies are 90 % for zone-based activity learning, 71 % for individual action recognition and 66 % for group detection (i.e. merging of people). ...
We also present a situational assessment ontology which serves the algorithms with relevant knowledge about the observed scene (e.g. information about objects, vulnerabilities and historical data). ...
Activity zones can be learned and semantically labeled in an unsupervised way. Such semantics allow recognizing events of interests. ...
doi:10.1109/avss.2013.6636650
dblp:conf/avss/AnderssonPBFEGPSF13
fatcat:u7ndvkrn5rdupkjm6z3v5zrixy
Unifying Neural Learning and Symbolic Reasoning for Spinal Medical Report Generation
[article]
2020
arXiv
pre-print
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segmentation of spinal structures with high complexity and variability. ...
Automated medical report generation in spine radiology, i.e., given spinal medical images and directly create radiologist-level diagnosis reports to support clinical decision making, is a novel yet fundamental ...
First-Order Logic Programming for Unsupervised Labeling of Segmented Spinal Structures.. ...
arXiv:2004.13577v1
fatcat:oh5aka5zr5be3ipd7qqnyhikzy
2020 Index IEEE Robotics and Automation Letters Vol. 5
2020
IEEE Robotics and Automation Letters
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., +, LRA April 2020 3153-3160
Semantic Localization Considering Uncertainty of Object Recognition. ...
Gomez-Gonzalez, S., +, LRA April 2020 970-976
Semantic Localization Considering Uncertainty of Object Recognition. ...
doi:10.1109/lra.2020.3032821
fatcat:qrnouccm7jb47ipq6w3erf3cja
Front Matter: Volume 8050
2011
Signal Processing, Sensor Fusion, and Target Recognition XX
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The papers included in this volume were part of the technical conference cited on the cover and title page. Papers were selected and subject to review by the editors and conference program committee. ...
SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model, with papers published first online and then in print and on CD-ROM. ...
Segmentation
Region Labeling
Temporal/Spatial
Alignment/ Registration
Freq/Pixel
Analysis
Object Labeling
Ship
Waterway
Waterway
Ship
on
Semantic/Context
Alignment/ Registration ...
doi:10.1117/12.899094
fatcat:mn5fo3c7ijfadnlmjcjcclpal4
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