98 papers:
- CASE-2015-RoyelYLLH #identification #optimisation #parametricity #using
- A hysteresis model and parameter identification for MR pin joints using immune particle swarm optimization (SR, YY, YL, JL, QPH), pp. 1319–1324.
- ICML-2015-PachecoS #approach #pseudo
- Proteins, Particles, and Pseudo-Max-Marginals: A Submodular Approach (JP, EBS), pp. 2200–2208.
- SAC-2015-LasagniR #3d
- Force model of a robotic particle chain for 3d displays (ML, KR), pp. 314–319.
- CASE-2014-ChenLY #distributed #modelling #network
- Sparse particle filtering for modeling space-time dynamics in distributed sensor networks (YC, GL, HY), pp. 626–631.
- CASE-2014-LeePP #locality #using
- Coarse-to-fine robot localization method using radio fingerprint and Particle Filter (YCL, BP, SP), pp. 290–296.
- CASE-2014-MaTLZLD #algorithm #hybrid #optimisation #scheduling
- A hybrid particle swarm optimization and simulated annealing algorithm for job-shop scheduling (PCM, FT, YL, LZ, HXL, ZD), pp. 125–130.
- DATE-2014-EbrahimiETSCA #analysis #embedded #fault
- Comprehensive analysis of alpha and neutron particle-induced soft errors in an embedded processor at nanoscales (ME, AE, MBT, RS, EC, DA), pp. 1–6.
- DLT-2014-GloannecO
- Knight Tiles: Particles and Collisions in the Realm of 4-Way Deterministic Tilings (BLG, NO), pp. 227–238.
- HCI-AIMT-2014-SiegertHPW #human-computer #interactive
- Discourse Particles and User Characteristics in Naturalistic Human-Computer Interaction (IS, MH, DP, AW), pp. 492–501.
- ICML-c1-2014-SteinhardtL
- Filtering with Abstract Particles (JS, PL), pp. 727–735.
- ICML-c2-2014-PachecoZBS
- Preserving Modes and Messages via Diverse Particle Selection (JP, SZ, MJB, EBS), pp. 1152–1160.
- CASE-2013-LanzaKPSS #analysis #automation #detection #fault #using
- Automated optical detection of particles and defects on a Li-Ion-cell surface using a single-point analysis (GL, AK, SP, AS, SS), pp. 675–680.
- CASE-2013-RenfrewBC #locality
- Particle filter based active localization of target and needle in robotic image-guided intervention systems (MR, ZB, MCC), pp. 448–454.
- ICML-c3-2013-LakshminarayananRT #top-down
- Top-down particle filtering for Bayesian decision trees (BL, DMR, YWT), pp. 280–288.
- SEKE-2013-AssuncaoV #diagrams #optimisation #retrieval
- Class Diagram Retrieval with Particle Swarm Optimization (WKGA, SRV), pp. 632–637.
- DRR-2012-ChengWAST #algorithm #classification #image #optimisation #visual notation
- Graphical image classification combining an evolutionary algorithm and binary particle swarm optimization (BC, RW, SA, RJS, GRT).
- ICPR-2012-BianZSL #realtime
- Parallelized Annealed Particle Filter for real-time marker-less motion tracking via heterogeneous computing (YB, XZ, JS, YL), pp. 2444–2447.
- ICPR-2012-LuoKM #3d #using
- Endoscope 3-D motion tracking using an aggressive particle filtering for boosting electromagnetic guidance endoscopy (XL, TK, KM), pp. 117–120.
- ICPR-2012-NarayanR #segmentation #using
- Motion segmentation using curve fitting on Lagrangian particle trajectories (SN, KRR), pp. 3692–3695.
- ICPR-2012-RayAZ #programming #segmentation
- Seeing through clutter: Snake computation with dynamic programming for particle segmentation (NR, STA, HZ), pp. 801–804.
- ICPR-2012-RenZMZ #classification #image #multi #optimisation
- Hyperspectral image classification based on Multiple Improved particle swarm cooperative optimization and SVM (YR, YZ, QM, LZ), pp. 2274–2277.
- ICPR-2012-RosRG
- Articulated Particle Filter for hand tracking (GR, JMdR, GGM), pp. 3581–3585.
- ICPR-2012-YangZLP #3d #optimisation #using
- Coupled 3D tracking and pose optimization of rigid objects using particle filter (HY, YZ, XL, IP), pp. 1451–1454.
- ICPR-2012-YaoZLL #algorithm #effectiveness #modelling #performance
- A fast and effective appearance model-based particle filtering object tracking algorithm (ZY, YZ, JL, WL), pp. 1475–1478.
- MLDM-2012-Ba-KaraitSS #classification #hybrid #optimisation #using
- EEG Signals Classification Using a Hybrid Method Based on Negative Selection and Particle Swarm Optimization (NOSBK, SMS, RS), pp. 427–438.
- DLT-2011-MenibusS #approach #automaton #self
- Self-organization in Cellular Automata: A Particle-Based Approach (BHdM, MS), pp. 251–263.
- KDIR-2011-KentaroSK
- Discovery of Meeting-particle Links and Their Application to Meeting Recollection Support (IK, OS, NK), pp. 456–459.
- PADL-2011-KrajcevskiR #api #declarative
- A Declarative API for Particle Systems (PK, JHR), pp. 130–144.
- SAC-2011-Thierry #approach #constraints #geometry
- A particle-spring approach to geometric constraints solving (SEBT), pp. 1100–1105.
- CASE-2010-SchirruPN #maintenance #predict #process #robust
- Particle filtering of hidden Gamma processes for robust Predictive Maintenance in semiconductor manufacturing (AS, SP, GDN), pp. 51–56.
- ICML-2010-AsuncionLIS
- Particle Filtered MCMC-MLE with Connections to Contrastive Divergence (AUA, QL, ATI, PS), pp. 47–54.
- ICPR-2010-AriA #estimation #modelling #optimisation #using
- Maximum Likelihood Estimation of Gaussian Mixture Models Using Particle Swarm Optimization (CA, SA), pp. 746–749.
- ICPR-2010-CarneiroN #architecture #learning
- The Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking (GC, JCN), pp. 2065–2068.
- ICPR-2010-FahnC #algorithm #realtime #recognition
- Real-Time Upper-Limbs Posture Recognition Based on Particle Filters and AdaBoost Algorithms (CSF, SLC), pp. 3854–3857.
- ICPR-2010-GhaeminiaSS #adaptation #using
- Adaptive Motion Model for Human Tracking Using Particle Filter (MHG, AHS, SBS), pp. 2073–2076.
- ICPR-2010-KhanN #image #optimisation
- A Modified Particle Swarm Optimization Applied in Image Registration (MKK, IN), pp. 2302–2305.
- ICPR-2010-KimYJS #estimation #hybrid #robust #visual notation
- Receding Horizon Estimation for Hybrid Particle Filters and Application for Robust Visual Tracking (DYK, EY, MJ, VS), pp. 3508–3512.
- ICPR-2010-NiSRM #learning #multi #online
- Particle Filter Tracking with Online Multiple Instance Learning (ZN, SS, AR, BSM), pp. 2616–2619.
- ICPR-2010-SteerAM #data fusion #recognition #using
- Audio-Visual Data Fusion Using a Particle Filter in the Application of Face Recognition (MAS, AAH, BM), pp. 4392–4395.
- ICPR-2010-SungCCB #3d #estimation #mobile
- Coarse-to-Fine Particle Filter by Implicit Motion Estimation for 3D Head Tracking on Mobile Devices (HS, KC, SC, HB), pp. 3615–3618.
- ICPR-2010-ZhangHTW #3d #evaluation #framework #modelling #using
- 3D Model Based Vehicle Tracking Using Gradient Based Fitness Evaluation under Particle Filter Framework (ZZ, KH, TT, YW), pp. 1771–1774.
- SEKE-2010-SouzaPB #approach #optimisation #testing
- A Constrained Particle Swarm Optimization Approach for Test Case Selection (LSdS, RBCP, FdAB), pp. 259–264.
- CASE-2009-GirishJ #algorithm #flexibility #optimisation #problem #scheduling
- A particle swarm optimization algorithm for flexible job shop scheduling problem (BSG, NJ), pp. 298–303.
- ICDAR-2009-SadriC #approach #documentation #optimisation
- A New Approach for Skew Correction of Documents Based on Particle Swarm Optimization (JS, MC), pp. 1066–1070.
- VLDB-2009-KimH #clustering #network
- A Particle-and-Density Based Evolutionary Clustering Method for Dynamic Networks (MSK, JH), pp. 622–633.
- ICALP-v2-2009-CooperFR #multi #random
- Multiple Random Walks and Interacting Particle Systems (CC, AMF, TR), pp. 399–410.
- HCI-NIMT-2009-FahnKW #realtime #recognition
- Real-Time Face Tracking and Recognition Based on Particle Filtering and AdaBoosting Techniques (CSF, MJK, KYW), pp. 198–207.
- ICEIS-AIDSS-2009-KuoWHH #clustering #network #optimisation #order #using
- An Order Clustering System using ART2 Neural Network and Particle Swarm Optimization Methodn (RJK, MJW, TWH, TLH), pp. 54–59.
- ECIR-2009-GouveaR #information retrieval #word
- Word Particles Applied to Information Retrieval (EBG, BR), pp. 424–436.
- SAC-2009-GaoZL #algorithm #constraints #fuzzy #optimisation
- A particle swarm optimization based algorithm for fuzzy bilevel decision making with constraints-shared followers (YG, GZ, JL), pp. 1075–1079.
- CASE-2008-TianL
- Particle filter positioning and tracking based on dynamic model (ZT, LL), pp. 756–759.
- ICPR-2008-DarbyLC #behaviour
- Behaviour based particle filtering for human articulated motion tracking (JD, BL, NPC), pp. 1–4.
- ICPR-2008-HidakaK #feature model #optimisation #using
- Non-Neighboring Rectangular Feature selection using Particle Swarm Optimization (AH, TK), pp. 1–4.
- ICPR-2008-HuangLZ #detection
- A method of small object detection and tracking based on particle filters (YH, JL, CZ), pp. 1–4.
- ICPR-2008-KiranyazTYG #design #multi #network #optimisation
- Unsupervised design of Artificial Neural Networks via multi-dimensional Particle Swarm Optimization (SK, TI, EAY, MG), pp. 1–4.
- ICPR-2008-KleinLM #using
- Preceding car tracking using belief functions and a particle filter (JK, CL, PM), pp. 1–4.
- ICPR-2008-PalaioB #adaptation #multi #using
- Multi-object tracking using an adaptive transition model particle filter with region covariance data association (HP, JB), pp. 1–4.
- ICPR-2008-UlkerGK #multi
- A multiple model structure for tracking by variable rate particle filters (YÜ, BG, SK), pp. 1–4.
- ICPR-2008-YangZS #algorithm #comparison #optimisation #search-based
- Comparison of Particle Swarm Optimization and Genetic Algorithm for HMM training (FY, CZ, TS), pp. 1–4.
- ICPR-2008-ZhangHZWLW #robust #visual notation
- SVD based Kalman particle filter for robust visual tracking (XZ, WH, ZZ, YW, XL, QW), pp. 1–4.
- ICPR-2008-ZuriarrainLAD #multi
- An MCMC-based particle filter for multiple person tracking (IZ, FL, NAA, MD), pp. 1–4.
- SAC-2008-BuenoWJ #automation #generative #testing #using
- Automatic test data generation using particle systems (PMSB, WEW, MJ), pp. 809–814.
- SAC-2008-CoelhoO #optimisation
- Dynamically tuning the population size in particle swarm optimization (ALVC, DGdO), pp. 1782–1787.
- SAC-2008-LiJS #coordination #distributed #simulation
- Coordination schemes in distributed simulation of relativistic particle transport (RL, HJ, HCS), pp. 44–45.
- DHM-2007-FanC #adaptation #using
- A Modified Particle Swarm Optimizer Using an Adaptive Dynamic Weight Scheme (SKSF, JMC), pp. 56–65.
- CASE-2006-ChandrasekaranSPV #algorithm #optimisation #permutation #problem #scheduling
- An Application of Particle Swarm Optimization Algorithm to Permutation Flowshop Scheduling Problems to Minimize Makespan, Total Flowtime and Completion Time Variance (SC, RKS, SGP, NV), pp. 513–518.
- CASE-2006-KwokHLF #image #multi #optimisation #using
- Intensity-Preserving Contrast Enhancement for Gray-Level Images using Multi-objective Particle Swarm Optimization (NMK, QPH, DL, GF), pp. 21–26.
- CASE-2006-SchiffG #automation #network #using
- Automated Intruder Tracking using Particle Filtering and a Network of Binary Motion Sensors (JS, KG), pp. 580–587.
- ICEIS-DISI-2006-LoureiroB #algorithm
- A Discrete Particle Swarm Algorithm for OLAP Data Cube Selection (JL, OB), pp. 46–62.
- ICML-2006-KlaasBFDML #performance
- Fast particle smoothing: if I had a million particles (MK, MB, NdF, AD, SM, DL), pp. 481–488.
- ICPR-v1-2006-Bernier #3d #realtime #using
- Real-Time 3D Articulated Pose Tracking using Particle Filters Interacting through Belief Propagation (OB), pp. 90–93.
- ICPR-v1-2006-Czyz #detection #video
- Object Detection in Video via Particle Filters (JC), pp. 820–823.
- ICPR-v1-2006-PupilliC #3d #modelling #realtime #using
- Real-Time Camera Tracking Using Known 3D Models and a Particle Filter (MP, AC), pp. 199–203.
- ICPR-v2-2006-Hotta #adaptation #classification
- Adaptive Weighting of Local Classifiers by Particle Filter (KH), pp. 610–613.
- ICPR-v2-2006-OsawaWWY #3d #using
- Human Tracking by Particle Filtering Using Full 3D Model of Both Target and Environment (TO, XW, KW, TY), pp. 25–28.
- ICPR-v3-2006-LeoputraTL #distributed #using
- Non-overlapping Distributed Tracking using Particle Filter (WSL, TT, FLL), pp. 181–185.
- ICPR-v3-2006-Ortegon-AguilarB
- Omnidirectional Vision Tracking with Particle Filter (JOA, EBC), pp. 1115–1118.
- ICPR-v3-2006-Wang06c #metric #online
- Online Aggregate Particle Size Measurement on A Conveyor Belt (WW), pp. 1032–1035.
- ICPR-v4-2006-HafezJ #estimation #using #visual notation
- Target Model Estimation using Particle Filters for Visual Servoing (AHAH, CVJ), pp. 651–654.
- ICPR-v4-2006-KimPL #3d #using
- Tracking 3D Human Body using Particle Filter in Moving Monocular Camera (SK, CBP, SWL), pp. 805–808.
- ICPR-v4-2006-LeiDW #adaptation #embedded
- AdaBoost Tracker Embedded in Adaptive Particle Filtering (YL, XD, SW), pp. 939–943.
- ICDAR-2005-OliveiraBS05a #classification #optimisation
- Improving Cascading Classifiers with Particle Swarm Optimization (LSO, AdSBJ, RS), pp. 570–574.
- ICPR-v2-2004-BandoSDI #performance #realtime #visual notation
- Switching Particle Filters for Efficient Real-time Visual Tracking (TB, TS, KD, SI), pp. 720–723.
- ICPR-v3-2004-BruijneN #image #segmentation
- Image Segmentation by Shape Particle Filtering (MdB, MN), pp. 722–725.
- ICPR-v3-2004-DeguchiKO #algorithm
- Object Tracking by the Mean-Shift of Regional Color Distribution Combined with the Particle-Filter Algorithm (KD, OK, TO), pp. 506–509.
- ICPR-v3-2004-SatohOD
- A Color-based Tracking by Kalman Particle Filter (YS, TO, KD), pp. 502–505.
- ICPR-v4-2004-OtsukaM #analysis #multi
- A Particle Filter for Tracking Densely Populated Objects Based on Explicit Multiview Occlusion Analysis (KO, NM), pp. 745–750.
- ICPR-v4-2004-ZaveriMD #image #information retrieval #modelling #multi #sequence #using
- Tracking of Point Targets in IR Image Sequence using Multiple Model Based Particle Filtering and MRF Based Data Association (MAZ, SNM, UBD), pp. 729–732.
- KDD-2004-AiroldiF #network
- Recovering latent time-series from their observed sums: network tomography with particle filters (EA, CF), pp. 30–39.
- KDD-2002-RidgewayM #analysis #dataset
- Bayesian analysis of massive datasets via particle filters (GR, DM), pp. 5–13.
- SAC-2002-KadrovachL
- A particle swarm model for swarm-based networked sensor systems (BAK, GBL), pp. 918–924.
- SAC-2002-ParsopoulosV #multi #optimisation #problem
- Particle swarm optimization method in multiobjective problems (KEP, MNV), pp. 603–607.
- ICPR-v4-2000-Leavers #analysis #using
- Analysis of Wear Particles Using the Radon Transform (VFL), pp. 4764–4766.
- HPDC-1999-PuA #artificial reality #distributed #image
- Distributed Processing for Cinematic Holographic Particle Image Velocimetry (YP, DA), pp. 343–344.
- ICPR-1998-YahiaB #segmentation #set
- Segmentation of deformable templates with level sets characterized by particle systems (HMY, JPB), pp. 1421–1423.
- HPDC-1997-ArmstrongWYBB #component
- Frame-Based Components for Generalized Particle Methods (RCA, PW, CY, MBP, NB), pp. 50–59.
- HPDC-1992-BeckerD #distributed #simulation
- Particle Simulation on Heterogeneous Distributed Supercomputers (JCB, LD), pp. 133–140.
- SIGMOD-1988-Bell #data transformation #execution #parallel #physics
- A Specialized Data Management System For Parallel Execution of Particle Physics Codes (JLB), pp. 277–285.