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1Clustering with Hypergraphs: The Case for Large Hyperedges
P. Purkait, T. Chin, A. Sadri, and D. Suter. IEEE Transactions on Pattern Analysis and Machine Intelligence, PP (99): 1-1 (2017)
4 years ago by @dsuter
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algorithms;Computational
stress;Higher
grouping;hypergraph
segmentation;Motion
Clustering
vision;Image
segmentation;Sampling
segmentation
clustering;motion
modeling;Computer
order
methods;Tensile
algorithms;Computationalstress;Highergrouping;hypergraphsegmentation;MotionClusteringvision;Imagesegmentation;Samplingsegmentationclustering;motionmodeling;Computerordermethods;Tensile
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2Fast Point Cloud Registration using Semantic Segmentation
G. Truong, S. Gilani, S. Islam, and D. Suter. 2019 Digital Image Computing: Techniques and Applications (DICTA), page 1-8. (December 2019)DST Best Science Paper Award.
4 years ago by @dsuter
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registration;deep
algorithm;visual
(artificial
data
learning;semantic
registration;image
graphics;image
scale
learning;point
sets;optimal
intelligence);point
point
cloud
registration;point-cloud
computer
information;deep
segmentation;large
data;semantic
matches;semantic
data-sets;point
segmentation;learning
data;large
segmentation
registration
registration;deepalgorithm;visual(artificialdatalearning;semanticregistration;imagegraphics;imagescalelearning;pointsets;optimalintelligence);pointpointcloudregistration;point-cloudcomputerinformation;deepsegmentation;largedata;semanticmatches;semanticdata-sets;pointsegmentation;learningdata;largesegmentationregistration
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3Automatic segmentation and labeling of speech based on Hidden Markov Models
F. Brugnara, D. Falavigna, and M. Omologo. Speech Communication, 12 (4): 357-370 (August 1993)
5 years ago by @m-toman
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labeling
and
Speech
segmentation
labelingandSpeechsegmentation
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2Using change point detection to automate daily activity segmentation
S. Aminikhanghahi, and D. Cook. Proc. IEEE Int. Conf. Pervasive Computing and Communications Workshops (PerCom Workshops), page 262--267. (March 2017)
5 years ago by @annakrause
show all tags
image
models,
segmentation,
Segmentation,
Markov
detection
recognition,
(artificial
automatic
real
Smart
methods,
home
transition
homes,
Change
Context,
daily
machine
change
algorithm,
datasets,
time
boundaries,
object
Real-time
activity
Activity
recognition
learning
learning-based
intelligence),
automation,
Feature
systems,
Recognition,
smart
point
algorithms,
aware
extraction,
continuous
feature
detection,
Hidden
segmentation
streaming,
human
imagemodels,segmentation,Segmentation,Markovdetectionrecognition,(artificialautomaticrealSmartmethods,hometransitionhomes,ChangeContext,dailymachinechangealgorithm,datasets,timeboundaries,objectReal-timeactivityActivityrecognitionlearninglearning-basedintelligence),automation,Featuresystems,Recognition,smartpointalgorithms,awareextraction,continuousfeaturedetection,Hiddensegmentationstreaming,human
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1DeeperLab: Single-Shot Image Parser
T. Yang, M. Collins, Y. Zhu, J. Hwang, T. Liu, X. Zhang, V. Sze, G. Papandreou, and L. Chen. (2019)cite arxiv:1902.05093Comment: 12 pages.
7 years ago by @nmatsuk
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arch
panoptic
segmentation
archpanopticsegmentation
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2Information gain-based metric for recognizing transitions in human activities
A. Sadri, Y. Ren, and F. Salim. Pervasive and Mobile Computing, (2017)
8 years ago by @bsc
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time-series
segmentation
time-seriessegmentation
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1Ultrasound image segmentation: a survey
J. Noble, and D. Boukerroui. Medical Imaging, IEEE Transactions on, 25 (8): 987-1010 (August 2006)
11 years ago by @alex_ruff
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medical
segmentation
survey
ultrasound
medicalsegmentationsurveyultrasound
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5A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
D. Martin, C. Fowlkes, D. Tal, and J. Malik. Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on, 2, page 416-423 vol.2. (2001)
12 years ago by @alex_ruff
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database
segmentation
video
benchmark
databasesegmentationvideobenchmark
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2CellProfiler: image analysis software for identifying and quantifying cell phenotypes
A. Carpenter, T. Jones, M. Lamprecht, C. Clarke, I. Kang, O. Friman, D. Guertin, J. Chang, R. Lindquist, J. Moffat and 2 other author(s). Genome Biology, (October 2006)
12 years ago by @hpschu
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image
processing
segmentation
cell
cellProfiler
imageprocessingsegmentationcellcellProfiler
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1Semi-automatic determination of cell surface areas used in systems biology
V. Morath, M. Keuper, M. Rodriguez-Franco, S. Deswal, G. Fiala, B. Blumenthal, D. Kaschek, J. Timmer, G. Neuhaus, S. Ehl and 2 other author(s). Front Biosci (Elite Ed), (2013)
12 years ago by @alex_ruff
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biology
cells
algorithms
segmentation
microscopy
biologycellsalgorithmssegmentationmicroscopy
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1Estimating Optical Flow in Segmented Images Using Variable-Order Parametric Models With Local Deformations
M. Black, and A. Jepson. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18 (10): 972-986 (1996)
13 years ago by @alex_ruff
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optical_flow
segmentation
optical_flowsegmentation
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14D imaging to assay complex dynamics in live specimens
D. Gerlich, and J. Ellenberg. Nat Cell Biol, (September 2003)
13 years ago by @alex_ruff
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3d
biology
imaging
software
image_processing
tomography
segmentation
survey
3dbiologyimagingsoftwareimage_processingtomographysegmentationsurvey
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1Scene Segmentation from Visual Motion Using Global Optimization
D. Murray, and B. Buxton. IEEE Trans. Pattern Anal. Mach. Intell., 9 (2): 220--228 (February 1987)
13 years ago by @alex_ruff
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optical_flow
segmentation
optical_flowsegmentation
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5A Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics
D. Martin, C. Fowlkes, D. Tal, and J. Malik. Proc. 8th Int'l Conf. Computer Vision, 2, page 416--423. (July 2001)
13 years ago by @alex_ruff
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image_processing
evaluation
segmentation
benchmark
image_processingevaluationsegmentationbenchmark
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1X-ray micro-tomography an attractive characterisation technique in materials science
L. Salvo, P. Cloetens, E. Maire, S. Zabler, J. Blandin, J. Buffière, W. Ludwig, E. Boller, D. Bellet, and C. Josserond. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 200 (0): 273 - 286 (2003)Proceedings of the E-MRS 2002 Symposium I on Synchrotron Radiation and Materials Science.
13 years ago by @alex_ruff
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imaging
morphology
data_analysis
tomography
x-rays
segmentation
imagingmorphologydata_analysistomographyx-rayssegmentation
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1ViBE-Z: a framework for 3D virtual colocalization analysis in zebrafish larval brains
O. Ronneberger, K. Liu, M. Rath, D. Rueβ, T. Mueller, H. Skibbe, B. Drayer, T. Schmidt, A. Filippi, R. Nitschke and 3 other author(s). Nat Methods, 9 (7): 735-742 (July 2012)
13 years ago by @alex_ruff
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biology
visualization
software
segmentation
registration
biologyvisualizationsoftwaresegmentationregistration
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1New post-imaging software provides fast and accurate volume data from CTA surveillance after endovascular aneurysm repair
K. Yeung, M. van der Laan, J. Wever, P. van Waes, and J. Blankensteijn. Journal of Endovascular Therapy, 10 (5): 887-893 (2003)
15 years ago by @jmaiora
show all tags
SYSTEM
aneurysm
MANAGEMENT
variability
AORTIC-ANEURYSMS
FOLLOW-UP
ENDOLUMINAL
rendering
ACCURACY
STENT-GRAFT
EXCLUSION
ENDOVASCULAR
volume
ABDOMINAL
REPAIR
SAC
ANEURYSM
SURVEILLANCE
segmentation
abdominal
INTEROBSERVER
aortic
measurements
VARIABILITY
SYSTEManeurysmMANAGEMENTvariabilityAORTIC-ANEURYSMSFOLLOW-UPENDOLUMINALrenderingACCURACYSTENT-GRAFTEXCLUSIONENDOVASCULARvolumeABDOMINALREPAIRSACANEURYSMSURVEILLANCEsegmentationabdominalINTEROBSERVERaorticmeasurementsVARIABILITY
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4Discriminative learning of markov random fields for segmentation of 3d scan data
D. Anguelov, B. Taskar, V. Chatalbashev, D. Koller, D. Gupta, G. Heitz, and A. Ng. Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2, page 169--176. IEEE Computer Society, (2005)
15 years ago by @ipi_jn
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Learning
3DPointCloud
Laserscanning
segmentation
Learning3DPointCloudLaserscanningsegmentation
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7Mean shift: a robust approach toward feature space analysis
D. Comaniciu, and P. Meer. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 24 (5): 603 -619 (May 2002)
16 years ago by @ukoethe
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segmentation
meanshift
segmentationmeanshift
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2Constrained restoration and the recovery of discontinuities
D. Geman, and G. Reynolds. IEEE Trans Pattern Anal Mach Intell, 14 (3): 367-383 (1992)
17 years ago by @jgomezdans
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bayes
segmentation
imageprocessing
markovrandomfields
bayessegmentationimageprocessingmarkovrandomfields
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