BibSLEIGH
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Used together with:
filter (48)
track (32)
use (27)
swarm (25)
base (23)

Stem particl$ (all stems)

98 papers:

CASECASE-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.
ICMLICML-2015-PachecoS #approach #pseudo
Proteins, Particles, and Pseudo-Max-Marginals: A Submodular Approach (JP, EBS), pp. 2200–2208.
SACSAC-2015-LasagniR #3d
Force model of a robotic particle chain for 3d displays (ML, KR), pp. 314–319.
CASECASE-2014-ChenLY #distributed #modelling #network
Sparse particle filtering for modeling space-time dynamics in distributed sensor networks (YC, GL, HY), pp. 626–631.
CASECASE-2014-LeePP #locality #using
Coarse-to-fine robot localization method using radio fingerprint and Particle Filter (YCL, BP, SP), pp. 290–296.
CASECASE-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.
DATEDATE-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.
DLTDLT-2014-GloannecO
Knight Tiles: Particles and Collisions in the Realm of 4-Way Deterministic Tilings (BLG, NO), pp. 227–238.
HCIHCI-AIMT-2014-SiegertHPW #human-computer #interactive
Discourse Particles and User Characteristics in Naturalistic Human-Computer Interaction (IS, MH, DP, AW), pp. 492–501.
ICMLICML-c1-2014-SteinhardtL
Filtering with Abstract Particles (JS, PL), pp. 727–735.
ICMLICML-c2-2014-PachecoZBS
Preserving Modes and Messages via Diverse Particle Selection (JP, SZ, MJB, EBS), pp. 1152–1160.
CASECASE-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.
CASECASE-2013-RenfrewBC #locality
Particle filter based active localization of target and needle in robotic image-guided intervention systems (MR, ZB, MCC), pp. 448–454.
ICMLICML-c3-2013-LakshminarayananRT #top-down
Top-down particle filtering for Bayesian decision trees (BL, DMR, YWT), pp. 280–288.
SEKESEKE-2013-AssuncaoV #diagrams #optimisation #retrieval
Class Diagram Retrieval with Particle Swarm Optimization (WKGA, SRV), pp. 632–637.
DRRDRR-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).
ICPRICPR-2012-BianZSL #realtime
Parallelized Annealed Particle Filter for real-time marker-less motion tracking via heterogeneous computing (YB, XZ, JS, YL), pp. 2444–2447.
ICPRICPR-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.
ICPRICPR-2012-NarayanR #segmentation #using
Motion segmentation using curve fitting on Lagrangian particle trajectories (SN, KRR), pp. 3692–3695.
ICPRICPR-2012-RayAZ #programming #segmentation
Seeing through clutter: Snake computation with dynamic programming for particle segmentation (NR, STA, HZ), pp. 801–804.
ICPRICPR-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.
ICPRICPR-2012-RosRG
Articulated Particle Filter for hand tracking (GR, JMdR, GGM), pp. 3581–3585.
ICPRICPR-2012-YangZLP #3d #optimisation #using
Coupled 3D tracking and pose optimization of rigid objects using particle filter (HY, YZ, XL, IP), pp. 1451–1454.
ICPRICPR-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.
MLDMMLDM-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.
DLTDLT-2011-MenibusS #approach #automaton #self
Self-organization in Cellular Automata: A Particle-Based Approach (BHdM, MS), pp. 251–263.
KDIRKDIR-2011-KentaroSK
Discovery of Meeting-particle Links and Their Application to Meeting Recollection Support (IK, OS, NK), pp. 456–459.
PADLPADL-2011-KrajcevskiR #api #declarative
A Declarative API for Particle Systems (PK, JHR), pp. 130–144.
SACSAC-2011-Thierry #approach #constraints #geometry
A particle-spring approach to geometric constraints solving (SEBT), pp. 1100–1105.
CASECASE-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.
ICMLICML-2010-AsuncionLIS
Particle Filtered MCMC-MLE with Connections to Contrastive Divergence (AUA, QL, ATI, PS), pp. 47–54.
ICPRICPR-2010-AriA #estimation #modelling #optimisation #using
Maximum Likelihood Estimation of Gaussian Mixture Models Using Particle Swarm Optimization (CA, SA), pp. 746–749.
ICPRICPR-2010-CarneiroN #architecture #learning
The Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking (GC, JCN), pp. 2065–2068.
ICPRICPR-2010-FahnC #algorithm #realtime #recognition
Real-Time Upper-Limbs Posture Recognition Based on Particle Filters and AdaBoost Algorithms (CSF, SLC), pp. 3854–3857.
ICPRICPR-2010-GhaeminiaSS #adaptation #using
Adaptive Motion Model for Human Tracking Using Particle Filter (MHG, AHS, SBS), pp. 2073–2076.
ICPRICPR-2010-KhanN #image #optimisation
A Modified Particle Swarm Optimization Applied in Image Registration (MKK, IN), pp. 2302–2305.
ICPRICPR-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.
ICPRICPR-2010-NiSRM #learning #multi #online
Particle Filter Tracking with Online Multiple Instance Learning (ZN, SS, AR, BSM), pp. 2616–2619.
ICPRICPR-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.
ICPRICPR-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.
ICPRICPR-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.
SEKESEKE-2010-SouzaPB #approach #optimisation #testing
A Constrained Particle Swarm Optimization Approach for Test Case Selection (LSdS, RBCP, FdAB), pp. 259–264.
CASECASE-2009-GirishJ #algorithm #flexibility #optimisation #problem #scheduling
A particle swarm optimization algorithm for flexible job shop scheduling problem (BSG, NJ), pp. 298–303.
ICDARICDAR-2009-SadriC #approach #documentation #optimisation
A New Approach for Skew Correction of Documents Based on Particle Swarm Optimization (JS, MC), pp. 1066–1070.
VLDBVLDB-2009-KimH #clustering #network
A Particle-and-Density Based Evolutionary Clustering Method for Dynamic Networks (MSK, JH), pp. 622–633.
ICALPICALP-v2-2009-CooperFR #multi #random
Multiple Random Walks and Interacting Particle Systems (CC, AMF, TR), pp. 399–410.
HCIHCI-NIMT-2009-FahnKW #realtime #recognition
Real-Time Face Tracking and Recognition Based on Particle Filtering and AdaBoosting Techniques (CSF, MJK, KYW), pp. 198–207.
ICEISICEIS-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.
ECIRECIR-2009-GouveaR #information retrieval #word
Word Particles Applied to Information Retrieval (EBG, BR), pp. 424–436.
SACSAC-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.
CASECASE-2008-TianL
Particle filter positioning and tracking based on dynamic model (ZT, LL), pp. 756–759.
ICPRICPR-2008-DarbyLC #behaviour
Behaviour based particle filtering for human articulated motion tracking (JD, BL, NPC), pp. 1–4.
ICPRICPR-2008-HidakaK #feature model #optimisation #using
Non-Neighboring Rectangular Feature selection using Particle Swarm Optimization (AH, TK), pp. 1–4.
ICPRICPR-2008-HuangLZ #detection
A method of small object detection and tracking based on particle filters (YH, JL, CZ), pp. 1–4.
ICPRICPR-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.
ICPRICPR-2008-KleinLM #using
Preceding car tracking using belief functions and a particle filter (JK, CL, PM), pp. 1–4.
ICPRICPR-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.
ICPRICPR-2008-UlkerGK #multi
A multiple model structure for tracking by variable rate particle filters (, BG, SK), pp. 1–4.
ICPRICPR-2008-YangZS #algorithm #comparison #optimisation #search-based
Comparison of Particle Swarm Optimization and Genetic Algorithm for HMM training (FY, CZ, TS), pp. 1–4.
ICPRICPR-2008-ZhangHZWLW #robust #visual notation
SVD based Kalman particle filter for robust visual tracking (XZ, WH, ZZ, YW, XL, QW), pp. 1–4.
ICPRICPR-2008-ZuriarrainLAD #multi
An MCMC-based particle filter for multiple person tracking (IZ, FL, NAA, MD), pp. 1–4.
SACSAC-2008-BuenoWJ #automation #generative #testing #using
Automatic test data generation using particle systems (PMSB, WEW, MJ), pp. 809–814.
SACSAC-2008-CoelhoO #optimisation
Dynamically tuning the population size in particle swarm optimization (ALVC, DGdO), pp. 1782–1787.
SACSAC-2008-LiJS #coordination #distributed #simulation
Coordination schemes in distributed simulation of relativistic particle transport (RL, HJ, HCS), pp. 44–45.
HCIDHM-2007-FanC #adaptation #using
A Modified Particle Swarm Optimizer Using an Adaptive Dynamic Weight Scheme (SKSF, JMC), pp. 56–65.
CASECASE-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.
CASECASE-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.
CASECASE-2006-SchiffG #automation #network #using
Automated Intruder Tracking using Particle Filtering and a Network of Binary Motion Sensors (JS, KG), pp. 580–587.
ICEISICEIS-DISI-2006-LoureiroB #algorithm
A Discrete Particle Swarm Algorithm for OLAP Data Cube Selection (JL, OB), pp. 46–62.
ICMLICML-2006-KlaasBFDML #performance
Fast particle smoothing: if I had a million particles (MK, MB, NdF, AD, SM, DL), pp. 481–488.
ICPRICPR-v1-2006-Bernier #3d #realtime #using
Real-Time 3D Articulated Pose Tracking using Particle Filters Interacting through Belief Propagation (OB), pp. 90–93.
ICPRICPR-v1-2006-Czyz #detection #video
Object Detection in Video via Particle Filters (JC), pp. 820–823.
ICPRICPR-v1-2006-PupilliC #3d #modelling #realtime #using
Real-Time Camera Tracking Using Known 3D Models and a Particle Filter (MP, AC), pp. 199–203.
ICPRICPR-v2-2006-Hotta #adaptation #classification
Adaptive Weighting of Local Classifiers by Particle Filter (KH), pp. 610–613.
ICPRICPR-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.
ICPRICPR-v3-2006-LeoputraTL #distributed #using
Non-overlapping Distributed Tracking using Particle Filter (WSL, TT, FLL), pp. 181–185.
ICPRICPR-v3-2006-Ortegon-AguilarB
Omnidirectional Vision Tracking with Particle Filter (JOA, EBC), pp. 1115–1118.
ICPRICPR-v3-2006-Wang06c #metric #online
Online Aggregate Particle Size Measurement on A Conveyor Belt (WW), pp. 1032–1035.
ICPRICPR-v4-2006-HafezJ #estimation #using #visual notation
Target Model Estimation using Particle Filters for Visual Servoing (AHAH, CVJ), pp. 651–654.
ICPRICPR-v4-2006-KimPL #3d #using
Tracking 3D Human Body using Particle Filter in Moving Monocular Camera (SK, CBP, SWL), pp. 805–808.
ICPRICPR-v4-2006-LeiDW #adaptation #embedded
AdaBoost Tracker Embedded in Adaptive Particle Filtering (YL, XD, SW), pp. 939–943.
ICDARICDAR-2005-OliveiraBS05a #classification #optimisation
Improving Cascading Classifiers with Particle Swarm Optimization (LSO, AdSBJ, RS), pp. 570–574.
ICPRICPR-v2-2004-BandoSDI #performance #realtime #visual notation
Switching Particle Filters for Efficient Real-time Visual Tracking (TB, TS, KD, SI), pp. 720–723.
ICPRICPR-v3-2004-BruijneN #image #segmentation
Image Segmentation by Shape Particle Filtering (MdB, MN), pp. 722–725.
ICPRICPR-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.
ICPRICPR-v3-2004-SatohOD
A Color-based Tracking by Kalman Particle Filter (YS, TO, KD), pp. 502–505.
ICPRICPR-v4-2004-OtsukaM #analysis #multi
A Particle Filter for Tracking Densely Populated Objects Based on Explicit Multiview Occlusion Analysis (KO, NM), pp. 745–750.
ICPRICPR-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.
KDDKDD-2004-AiroldiF #network
Recovering latent time-series from their observed sums: network tomography with particle filters (EA, CF), pp. 30–39.
KDDKDD-2002-RidgewayM #analysis #dataset
Bayesian analysis of massive datasets via particle filters (GR, DM), pp. 5–13.
SACSAC-2002-KadrovachL
A particle swarm model for swarm-based networked sensor systems (BAK, GBL), pp. 918–924.
SACSAC-2002-ParsopoulosV #multi #optimisation #problem
Particle swarm optimization method in multiobjective problems (KEP, MNV), pp. 603–607.
ICPRICPR-v4-2000-Leavers #analysis #using
Analysis of Wear Particles Using the Radon Transform (VFL), pp. 4764–4766.
HPDCHPDC-1999-PuA #artificial reality #distributed #image
Distributed Processing for Cinematic Holographic Particle Image Velocimetry (YP, DA), pp. 343–344.
ICPRICPR-1998-YahiaB #segmentation #set
Segmentation of deformable templates with level sets characterized by particle systems (HMY, JPB), pp. 1421–1423.
HPDCHPDC-1997-ArmstrongWYBB #component
Frame-Based Components for Generalized Particle Methods (RCA, PW, CY, MBP, NB), pp. 50–59.
HPDCHPDC-1992-BeckerD #distributed #simulation
Particle Simulation on Heterogeneous Distributed Supercomputers (JCB, LD), pp. 133–140.
SIGMODSIGMOD-1988-Bell #data transformation #execution #parallel #physics
A Specialized Data Management System For Parallel Execution of Particle Physics Codes (JLB), pp. 277–285.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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