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ORCIDMircea Nicolescu
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- affiliation: University of Nevada, Reno, USA
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Journal Articles
- 2024
[j26]Parvaneh Aliniya
, Mircea Nicolescu, Monica N. Nicolescu, George Bebis:
Improved Loss Function for Mass Segmentation in Mammography Images Using Density and Mass Size. J. Imaging 10(1): 20 (2024)- [j25]Shuvo Kumar Paul, Ovi Paul, Monica N. Nicolescu, Mircea Nicolescu:
ROS-Pose: Simplified object detection and planar pose estimation for rapid robotics application development. Softw. Impacts 19: 100624 (2024) - 2023
- [j24]Shuvo Kumar Paul, Mircea Nicolescu, Monica N. Nicolescu:
Enhancing Human-Robot Collaboration through a Multi-Module Interaction Framework with Sensor Fusion: Object Recognition, Verbal Communication, User of Interest Detection, Gesture and Gaze Recognition. Sensors 23(13): 5798 (2023) - [j23]Pourya Hoseini, Shuvo Kumar Paul, Mircea Nicolescu, Monica N. Nicolescu:
Next Best View Planning in a Single Glance: An Approach to Improve Object Recognition. SN Comput. Sci. 4(1): 51 (2023) - 2022
- [j22]Pourya Hoseini, Shuvo Kumar Paul, Mircea Nicolescu, Monica N. Nicolescu:
A one-shot next best view system for active object recognition. Appl. Intell. 52(5): 5290-5309 (2022) - 2021
- [j21]Logan Carlson, Dalton Navalta, Monica N. Nicolescu, Mircea Nicolescu, Gail Woodward:
Early Classification of Intent for Maritime Domains Using Multinomial Hidden Markov Models. Frontiers Artif. Intell. 4: 702153 (2021) - 2019
- [j20]Pourya Hoseini, Janelle Blankenburg, Mircea Nicolescu, Monica N. Nicolescu, David Feil-Seifer:
Active Eye-in-Hand Data Management to Improve the Robotic Object Detection Performance. Comput. 8(4): 71 (2019) - 2018
- [j19]Banafsheh Rekabdar, Luke Fraser, Monica N. Nicolescu, Mircea Nicolescu:
A real-time spike-timing classifier of spatio-temporal patterns. Neurocomputing 311: 183-196 (2018) - 2017
- [j18]Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, Sushil J. Louis:
Using patterns of firing neurons in spiking neural networks for learning and early recognition of spatio-temporal patterns. Neural Comput. Appl. 28(5): 881-897 (2017) - 2016
- [j17]Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, Mohammad Taghi Saffar, Richard Kelley:
A Scale and Translation Invariant Approach for Early Classification of Spatio-Temporal Patterns Using Spiking Neural Networks. Neural Process. Lett. 43(2): 327-343 (2016) - 2015
- [j16]Banafsheh Rekabdar, Monica N. Nicolescu, Richard Kelley, Mircea Nicolescu:
An Unsupervised Approach to Learning and Early Detection of Spatio-Temporal Patterns Using Spiking Neural Networks. J. Intell. Robotic Syst. 80(Supplement-1): 83-97 (2015) - [j15]Mohammad Taghi Saffar, Mircea Nicolescu, Monica N. Nicolescu, Banafsheh Rekabdar:
Intent Understanding Using an Activation Spreading Architecture. Robotics 4(3): 284-315 (2015) - 2014
- [j14]Amol Ambardekar, Mircea Nicolescu, George Bebis, Monica N. Nicolescu:
Vehicle classification framework: a comparative study. EURASIP J. Image Video Process. 2014: 29 (2014) - [j13]Abbas Roayaei Ardakany, Mircea Nicolescu, Monica N. Nicolescu:
Improving Gender Classification Using an Extended Set of Local Binary Patterns. Int. J. Multim. Data Eng. Manag. 5(3): 47-66 (2014) - 2013
- [j12]Amol Ambardekar, Mircea Nicolescu, George Bebis, Monica N. Nicolescu:
Visual traffic surveillance framework: classification to event detection. J. Electronic Imaging 22(4): 041112 (2013) - 2012
- [j11]Richard Kelley, Alireza Tavakkoli, Christopher King, Amol Ambardekar, Monica N. Nicolescu, Mircea Nicolescu:
Context-Based Bayesian Intent Recognition. IEEE Trans. Auton. Ment. Dev. 4(3): 215-225 (2012) - 2009
- [j10]Leandro A. Loss, George Bebis, Mircea Nicolescu, Alexei N. Skurikhin:
An iterative multi-scale tensor voting scheme for perceptual grouping of natural shapes in cluttered backgrounds. Comput. Vis. Image Underst. 113(1): 126-149 (2009) - [j9]Gholamreza Amayeh, George Bebis, Ali Erol, Mircea Nicolescu:
Hand-based verification and identification using palm-finger segmentation and fusion. Comput. Vis. Image Underst. 113(4): 477-501 (2009) - [j8]Junxian Wang, George Bebis, Mircea Nicolescu, Monica N. Nicolescu, Ronald Miller:
Improving target detection by coupling it with tracking. Mach. Vis. Appl. 20(4): 205-223 (2009) - [j7]Alireza Tavakkoli, Mircea Nicolescu, George Bebis, Monica N. Nicolescu:
Non-parametric statistical background modeling for efficient foreground region detection. Mach. Vis. Appl. 20(6): 395-409 (2009) - 2008
- [j6]Alireza Tavakkoli, Mircea Nicolescu, George Bebis, Monica N. Nicolescu:
A Support Vector Data Description Approach for Background Modeling in Videos with Quasi-Stationary Backgrounds. Int. J. Artif. Intell. Tools 17(4): 635-658 (2008) - [j5]Richard Kelley, Christopher King, Alireza Tavakkoli, Mircea Nicolescu, Monica N. Nicolescu, George Bebis:
An Architecture for Understanding Intent Using a Novel Hidden Markov Formulation. Int. J. Humanoid Robotics 5(2): 203-224 (2008) - 2007
- [j4]Jorge Usabiaga, George Bebis, Ali Erol, Mircea Nicolescu, Monica N. Nicolescu:
Recognizing Simple Human Actions Using 3D Head Movement. Comput. Intell. 23(4): 484-496 (2007) - [j3]Ali Erol, George Bebis, Mircea Nicolescu, Richard D. Boyle, Xander Twombly:
Vision-based hand pose estimation: A review. Comput. Vis. Image Underst. 108(1-2): 52-73 (2007) - 2005
- [j2]Mircea Nicolescu, Gérard G. Medioni:
A Voting-Based Computational Framework for Visual Motion Analysis and Interpretation. IEEE Trans. Pattern Anal. Mach. Intell. 27(5): 739-752 (2005) - 2003
- [j1]Mircea Nicolescu, Gérard G. Medioni:
Layered 4D Representation and Voting for Grouping from Motion. IEEE Trans. Pattern Anal. Mach. Intell. 25(4): 492-501 (2003)
Conference and Workshop Papers
- 2024
- [c70]Parvaneh Aliniya, Mircea Nicolescu, Monica N. Nicolescu, George Bebis:
Supervised Pectoral Muscle Removal in Mammography Images. AIME (2) 2024: 126-130 - [c69]Ayesh Meepaganithage, Suman Rath, Mircea Nicolescu, Monica N. Nicolescu, Shamik Sengupta:
Feature Selection Using the Advanced Shapley Value. CCWC 2024: 207-213 - [c68]Md. Abu Sayed, Korben Diarchangel, Mayamin Hamid Raha, Parvaneh Aliniya, Monica N. Nicolescu, Mircea Nicolescu, Sushil J. Louis:
NavySim: A Multi-Vessel Simulation and Analysis Engine for Naval Domains. CoG 2024: 1-8 - [c67]Ayesh Meepaganithage, Mircea Nicolescu, Monica N. Nicolescu:
Hostile Vessel Behavior Prediction using LSTMs. ICMVA 2024: 48-53 - [c66]Ayesh Meepaganithage, Suman Rath, Mircea Nicolescu, Monica N. Nicolescu, Shamik Sengupta:
Image Forgery Detection Using Convolutional Neural Networks. ISDFS 2024: 1-6 - 2023
- [c65]Parvaneh Aliniya, Mircea Nicolescu, Monica N. Nicolescu, George Bebis:
ASP Loss: Adaptive Sample-Level Prioritizing Loss for Mass Segmentation on Whole Mammography Images. ICANN (2) 2023: 102-114 - [c64]Mayamin Hamid Raha, Md. Abu Sayed, Monica N. Nicolescu, Mircea Nicolescu, Sushil J. Louis:
Maritime Dynamic Resource Allocation and Risk Minimization Using Visual Analytics and Elitist Multi-Objective Optimization. ICINCO (1) 2023: 54-63 - [c63]Shuvo Kumar Paul, Mircea Nicolescu, Monica N. Nicolescu:
Integrating User Gaze with Verbal Instruction to Reliably Estimate Robotic Task Parameters in a Human-Robot Collaborative Environment. ICMVA 2023 - [c62]Parvaneh Aliniya, Mircea Nicolescu, Monica N. Nicolescu, George Bebis:
Hybrid Region and Pixel-Level Adaptive Loss for Mass Segmentation on Whole Mammography Images. ISVC (1) 2023: 3-17 - 2022
- [c61]Shuvo Kumar Paul, Pourya Hoseini, Arjun Vettath Gopinath, Mircea Nicolescu, Monica N. Nicolescu:
Simultaneous Integration of Multimodal Interfaces for Generating Structured and Reliable Robotic Task Configurations. ICMVA 2022: 61-66 - [c60]Yan Yang Aaren, George Bebis, Mircea Nicolescu:
Two-step Data Augmentation for Masked Face Detection and Recognition: Turning Fake Masks to Real. IMPROVE 2022: 126-134 - [c59]Akshay Krishna, Patrick Smith, Mircea Nicolescu, Steven C. Hayes:
Vision-based Assessment of Instructional Content on Golf Performance. IPMV 2022: 78-83 - 2021
- [c58]Pourya Hoseini, Shuvo Kumar Paul, Mircea Nicolescu, Monica N. Nicolescu:
A Surface and Appearance-based Next Best View System for Active Object Recognition. VISIGRAPP (5: VISAPP) 2021: 841-851 - 2019
- [c57]Logan Carlson, Dalton Navalta, Monica N. Nicolescu, Mircea Nicolescu, Gail Woodward:
Multinomial HMMs for Intent Recognition in Maritime Domains. AAMAS 2019: 1856-1858 - [c56]Monica N. Nicolescu, Natalie Arnold, Janelle Blankenburg, David Feil-Seifer, Santosh Balajee Banisetty, Mircea Nicolescu, Andrew H. Palmer, Thor Monteverde:
Learning of Complex-Structured Tasks from Verbal Instruction. Humanoids 2019: 747-754 - [c55]Seyed Pourya Hoseini Alinodehi, Janelle Blankenburg, Mircea Nicolescu, Monica N. Nicolescu, David Feil-Seifer:
An Active Robotic Vision System with a Pair of Moving and Stationary Cameras. ISVC (2) 2019: 184-195 - [c54]Bashira Akter Anima, Janelle Blankenburg, Mariya Zagainova, S. Pourya Hoseini A., Muhammed Tawfiq Chowdhury, David Feil-Seifer, Monica N. Nicolescu, Mircea Nicolescu:
Collaborative Human-Robot Hierarchical Task Execution with an Activation Spreading Architecture. ICSR 2019: 301-310 - 2018
- [c53]S. Pourya Hoseini A., Mircea Nicolescu, Monica N. Nicolescu:
Handling Ambiguous Object Recognition Situations in a Robotic Environment via Dynamic Information Fusion. CogSIMA 2018: 56-62 - [c52]S. Pourya Hoseini A., Mircea Nicolescu, Monica N. Nicolescu:
Active Object Detection Through Dynamic Incorporation of Dempster-Shafer Fusion for Robotic Applications. ICVISP 2018: 5:1-5:7 - 2017
- [c51]Seyed Pourya Hoseini Alinodehi, Sushil J. Louis, Sajjad Moshfe, Mircea Nicolescu:
A modified steady state genetic algorithm suitable for fast pipelined hardware. CEC 2017: 2526-2533 - [c50]Janelle Blankenburg, Santosh Balajee Banisetty, Seyed Pourya Hoseini Alinodehi, Luke Fraser, David Feil-Seifer, Monica N. Nicolescu, Mircea Nicolescu:
A distributed control architecture for collaborative multi-robot task allocation. Humanoids 2017: 585-592 - [c49]Mohaddeseh Koosha, Seyed Pourya Hoseini Alinodehi, Mircea Nicolescu, Zahra Safaei Naraghi:
Automatic evaluation of skin histopathological images for melanocytic features. Medical Imaging: Digital Pathology 2017: 1014006 - 2016
- [c48]Luke Fraser, Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, David Feil-Seifer, George Bebis:
A compact task representation for hierarchical robot control. Humanoids 2016: 697-704 - [c47]Yu Ding, Mircea Nicolescu, Dan Farmer, Yao Wang, George Bebis, Fabien Scalzo:
Tensor Voting Extraction of Vessel Centerlines from Cerebral Angiograms. ISVC (1) 2016: 35-44 - 2015
- [c46]Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu:
An Unsupervised Learning Approach for Classifying Sequence Data for Human Robotic Interaction Using Spiking Neural Network. HRI (Extended Abstracts) 2015: 213-214 - [c45]Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, Richard Kelley:
A biologically inspired approach to learning spatio-temporal patterns. ICDL-EPIROB 2015: 291-297 - [c44]Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, Richard Kelley:
Scale and translation invariant learning of spatio-temporal patterns using longest common subsequences and spiking neural networks. IJCNN 2015: 1-7 - [c43]Mohammad Taghi Saffar, Banafsheh Rekabdar, Sushil J. Louis, Mircea Nicolescu:
Face recognition in unconstrained environments. IJCNN 2015: 1-7 - [c42]Mohammad Taghi Saffar, Mircea Nicolescu, Monica N. Nicolescu, Banafsheh Rekabdar:
Context-based intent understanding using an Activation Spreading architecture. IROS 2015: 3002-3009 - [c41]Mohammad Taghi Saffar, Mircea Nicolescu, Monica N. Nicolescu, Daniel Bigelow, Christopher A. Ballinger, Sushil J. Louis:
Intent Recognition in a Simulated Maritime Multi-agent Domain. MOD 2015: 158-170 - 2014
- [c40]Banafsheh Rekabdar, Monica N. Nicolescu, Richard Kelley, Mircea Nicolescu:
Unsupervised Learning of Spatio-temporal Patterns Using Spike Timing Dependent Plasticity. AGI 2014: 254-257 - 2013
- [c39]Liesl Wigand, Monica N. Nicolescu, Mircea Nicolescu:
A Developmental Approach to Concept Learning. ICINCO (2) 2013: 337-344 - [c38]Abbas Roayaei Ardakany, Mircea Nicolescu, Monica N. Nicolescu:
An Extended Local Binary Pattern for Gender Classification. ISM 2013: 315-320 - 2012
- [c37]Richard Kelley, Liesl Wigand, Brian Hamilton, Katie Browne, Monica N. Nicolescu, Mircea Nicolescu:
Deep networks for predicting human intent with respect to objects. HRI 2012: 171-172 - [c36]Aras Dargazany, Mircea Nicolescu:
Human Body Parts Tracking Using Torso Tracking: Applications to Activity Recognition. ITNG 2012: 646-651 - 2011
- [c35]Luca Iocchi, Ndedi D. Monekosso, Daniele Nardi, Mircea Nicolescu, Paolo Remagnino, Maria Valera:
Smart Monitoring of Complex Public Scenes. AAAI Fall Symposium: Robot-Human Teamwork in Dynamic Adverse Environment 2011 - 2010
- [c34]Richard Kelley, Christopher King, Amol Ambardekar, Monica N. Nicolescu, Mircea Nicolescu, Alireza Tavakkoli:
Integrating Context into Intent Recognition Systems. ICINCO (2) 2010: 315-320 - [c33]Amol Ambardekar, Alireza Tavakkoli, Mircea Nicolescu, Monica N. Nicolescu:
A Developmental Framework for Visual Learning in Robotics. IPCV 2010: 382-387 - [c32]Alireza Tavakkoli, Mircea Nicolescu, George Bebis:
A Spatio-Spectral Algorithm for Robust and Scalable Object Tracking in Videos. ISVC (3) 2010: 161-170 - 2009
- [c31]Amol Ambardekar, Mircea Nicolescu, Sergiu Dascalu:
Ground Truth Verification Tool (GTVT) for Video Surveillance Systems. ACHI 2009: 354-359 - [c30]Richard Kelley, Monica N. Nicolescu, Mircea Nicolescu:
Grammar-based robot control. AAMAS (2) 2009: 1153-1154 - 2008
- [c29]Mircea Nicolescu:
Commentary Paper on "Dynamic Models for People Detection and Tracking". AVSS 2008: 36-37 - [c28]Mircea Nicolescu:
Commentary Paper 1 on "Action Signature: A Novel Holistic Representation for Action Recognition". AVSS 2008: 129 - [c27]Mircea Nicolescu:
Commentary Paper 1 on "A Localized Approach to Abandoned Luggage Detection with Foreground-Mask Sampling". AVSS 2008: 140-141 - [c26]Mircea Nicolescu:
Commentary Paper 2 on "Automatic Detection of Adverse Weather Conditions in Traffic Scenes". AVSS 2008: 281-282 - [c25]Gholamreza Amayeh, George Bebis, Mircea Nicolescu:
Gender classification from hand shape. CVPR Workshops 2008: 1-7 - [c24]Leandro A. Loss, George Bebis, Mircea Nicolescu, Alexei N. Skurikhin:
Investigating how and when perceptual organization cues improve boundary detection in natural images. CVPR Workshops 2008: 1-8 - [c23]Richard Kelley, Alireza Tavakkoli, Christopher King, Monica N. Nicolescu, Mircea Nicolescu, George Bebis:
Understanding human intentions via hidden markov models in autonomous mobile robots. HRI 2008: 367-374 - [c22]Fabien Scalzo, George Bebis, Mircea Nicolescu, Leandro A. Loss, Alireza Tavakkoli:
Feature Fusion Hierarchies for gender classification. ICPR 2008: 1-4 - [c21]Alireza Tavakkoli, Mircea Nicolescu, George Bebis, Monica N. Nicolescu:
Efficient background modeling through incremental Support Vector Data Description. ICPR 2008: 1-4 - [c20]Alireza Tavakkoli, Richard Kelley, Christopher King, Mircea Nicolescu, Monica N. Nicolescu, George Bebis:
A Visual Tracking Framework for Intent Recognition in Videos. ISVC (1) 2008: 450-459 - 2007
- [c19]Leandro A. Loss, George Bebis, Mircea Nicolescu, Alexei N. Skurikhin:
An Automatic Framework for Figure-Ground Segmentation in Cluttered Backgrounds. BMVC 2007: 1-10 - [c18]Gholamreza Amayeh, George Bebis, Ali Erol, Mircea Nicolescu:
A Component-Based Approach to Hand Verification. CVPR 2007 - [c17]Alireza Tavakkoli, Richard Kelley, Christopher King, Mircea Nicolescu, Monica N. Nicolescu, George Bebis:
A Vision-Based Architecture for Intent Recognition. ISVC (2) 2007: 173-182 - [c16]Alireza Tavakkoli, Amol Ambardekar, Mircea Nicolescu, Sushil J. Louis:
A Genetic Approach to Training Support Vector Data Descriptors for Background Modeling in Video Data. ISVC (2) 2007: 318-327 - [c15]Christopher King, Xavier Palathingal, Monica N. Nicolescu, Mircea Nicolescu:
A Control Architecture for Long-Term Autonomy of Robotic Assistants. ISVC (1) 2007: 375-384 - 2006
- [c14]Gholamreza Amayeh, George Bebis, Ali Erol, Mircea Nicolescu:
Peg-Free Hand Shape Verification Using High Order Zernike Moments. CVPR Workshops 2006: 40 - [c13]Alireza Tavakkoli, Mircea Nicolescu, George Bebis:
Robust Recursive Learning for Foreground Region Detection in Videos with Quasi-Stationary Backgrounds. ICPR (1) 2006: 315-318 - [c12]Alireza Tavakkoli, Mircea Nicolescu, George Bebis:
A Novelty Detection Approach for Foreground Region Detection in Videos with Quasi-stationary Backgrounds. ISVC (1) 2006: 40-49 - [c11]Leandro A. Loss, George Bebis, Mircea Nicolescu, Alexei N. Skourikhine:
Perceptual Grouping Based on Iterative Multi-scale Tensor Voting. ISVC (2) 2006: 870-881 - 2005
- [c10]Ali Erol, George Bebis, Mircea Nicolescu, Richard D. Boyle, Xander Twombly:
A Review on Vision-Based Full DOF Hand Motion Estimation. CVPR Workshops 2005: 75 - [c9]Alireza Tavakkoli, Mircea Nicolescu, George Bebis:
Automatic Robust Background Modeling Using Multivariate Non-parametric Kernel Density Estimation for Visual Surveillance. ISVC 2005: 363-370 - [c8]Gholamreza Amayeh, Ali Erol, George Bebis, Mircea Nicolescu:
Accurate and Efficient Computation of High Order Zernike Moments. ISVC 2005: 462-469 - [c7]Ali Erol, George Bebis, Richard D. Boyle, Mircea Nicolescu:
Visual Hull Construction Using Adaptive Sampling. WACV/MOTION 2005: 234-241 - 2004
- [c6]Mircea Nicolescu, Changki Min, Gérard G. Medioni:
Analysis and Interpretation of Multiple Motions Through Surface Saliency. SCVMA 2004: 115-126 - 2003
- [c5]Mircea Nicolescu, Gérard G. Medioni:
Motion Segmentation with Accurate Boundaries - A Tensor Voting Approach. CVPR (1) 2003: 382-389 - 2002
- [c4]Mircea Nicolescu, Gérard G. Medioni:
Perceptual Grouping from Motion Cues Using Tensor Voting in 4-D. ECCV (3) 2002: 423-437 - [c3]Mircea Nicolescu, Gérard G. Medioni:
4-D Voting for Matching, Densification and Segmentation into Motion Layers. ICPR (3) 2002: 303-308 - 2000
- [c2]Mircea Nicolescu, Gérard G. Medioni:
Electronic Pan-Tilt-Zoom: A Solution for Intelligent Room Systems. IEEE International Conference on Multimedia and Expo (III) 2000: 1581-1584 - [c1]Mircea Nicolescu, Gérard G. Medioni:
GlobeAll: Panoramic Video for an Intelligent Room. ICPR 2000: 1823-1826
Reference Works
- 2012
- [r1]Christopher King, Maria Valera, Raphael Grech, Robert J. Mullen, Paolo Remagnino, Luca Iocchi, Luca Marchetti, Daniele Nardi, Dorothy Ndedi Monekosso, Mircea Nicolescu:
Multi-Robot and Multi-Camera Patrolling. Handbook of Soft Computing for Video Surveillance 2012: 255-286
Informal and Other Publications
- 2021
- [i2]Shuvo Kumar Paul, Muhammed Tawfiq Chowdhury, Mircea Nicolescu, Monica N. Nicolescu:
Object Detection and Pose Estimation from RGB and Depth Data for Real-time, Adaptive Robotic Grasping. CoRR abs/2101.07347 (2021) - 2020
- [i1]Shuvo Kumar Paul, Pourya Hoseini, Mircea Nicolescu, Monica N. Nicolescu:
Performance Analysis of Keypoint Detectors and Binary Descriptors Under Varying Degrees of Photometric and Geometric Transformations. CoRR abs/2012.04135 (2020)
Coauthor Index
[j26] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j8] [j7] [j6] [j5] [j4] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c50] [c48] [c46] [c45] [c44] [c42] [c41] [c40] [c39] [c38] [c37] [c34] [c33] [c30] [c23] [c21] [c20] [c17] [c15] [i2] [i1]
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