Stem gradient$ (all stems)

154 papers:

ICML-2015-AybatWI #distributed #optimisation

An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization (NSA, ZW, GI), pp. 2454–2462.

ICML-2015-FilipponeE #linear #probability #process #scalability

Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE) (MF, RE), pp. 1015–1024.

ICML-2015-GrosseS #matrix #scalability

Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix (RBG, RS), pp. 2304–2313.

ICML-2015-MaclaurinDA #learning #optimisation

Gradient-based Hyperparameter Optimization through Reversible Learning (DM, DKD, RPA), pp. 2113–2122.

ICML-2015-SaRO #convergence #matrix #probability #problem

Global Convergence of Stochastic Gradient Descent for Some Non-convex Matrix Problems (CDS, CR, KO), pp. 2332–2341.

ICML-2015-WangFS #for free #monte carlo #privacy #probability

Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo (YXW, SEF, AJS), pp. 2493–2502.

KDD-2015-AhnKLRW #distributed #matrix #probability #scalability #using

Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC (SA, AK, NL, SR, MW), pp. 9–18.

CASE-2014-LinWF #using

Grasping unknown objects using depth gradient feature with eye-in-hand RGB-D sensor (YCL, STW, LCF), pp. 1258–1263.

DATE-2014-AghaeePE #3d #performance

An efficient temperature-gradient based burn-in technique for 3D stacked ICs (NA, ZP, PE), pp. 1–4.

ICML-c1-2014-LinX #adaptation #continuation #optimisation

An Adaptive Accelerated Proximal Gradient Method and its Homotopy Continuation for Sparse Optimization (QL, LX), pp. 73–81.

ICML-c1-2014-SilverLHDWR #algorithm #policy

Deterministic Policy Gradient Algorithms (DS, GL, NH, TD, DW, MAR), pp. 387–395.

ICML-c2-2014-AhnSW #distributed #probability

Distributed Stochastic Gradient MCMC (SA, BS, MW), pp. 1044–1052.

ICML-c2-2014-Bou-AmmarERT #learning #multi #online #policy

Online Multi-Task Learning for Policy Gradient Methods (HBA, EE, PR, MET), pp. 1206–1214.

ICML-c2-2014-ChenFG #monte carlo #probability

Stochastic Gradient Hamiltonian Monte Carlo (TC, EBF, CG), pp. 1683–1691.

ICML-c2-2014-DefazioDC #big data #incremental #named #performance #problem

Finito: A faster, permutable incremental gradient method for big data problems (AD, JD, TSC), pp. 1125–1133.

ICML-c2-2014-KingmaW #performance

Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets (DPK, MW), pp. 1782–1790.

ICML-c2-2014-SatoN #analysis #approximate #equation #probability #process #using

Approximation Analysis of Stochastic Gradient Langevin Dynamics by using Fokker-Planck Equation and Ito Process (IS, HN), pp. 982–990.

ICML-c2-2014-Sohl-DicksteinPG #optimisation #performance #probability #scalability

Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods (JSD, BP, SG), pp. 604–612.

ICML-c2-2014-SteinhardtL14a #adaptation #algorithm

Adaptivity and Optimism: An Improved Exponentiated Gradient Algorithm (JS, PL), pp. 1593–1601.

ICML-c2-2014-Thomas14a #convergence #named

GeNGA: A Generalization of Natural Gradient Ascent with Positive and Negative Convergence Results (PT), pp. 1575–1583.

ICML-c2-2014-ToulisAR #analysis #linear #modelling #probability #statistics

Statistical analysis of stochastic gradient methods for generalized linear models (PT, EA, JR), pp. 667–675.

ICML-c2-2014-YuanLZ #optimisation

Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization (XY, PL, TZ), pp. 127–135.

ICPR-2014-DhamechaSSV #effectiveness #on the

On Effectiveness of Histogram of Oriented Gradient Features for Visible to Near Infrared Face Matching (TID, PS, RS, MV), pp. 1788–1793.

ICPR-2014-HongZP #analysis #estimation #image

Pose Estimation via Complex-Frequency Domain Analysis of Image Gradient Orientations (XH, GZ, MP), pp. 1740–1745.

ICPR-2014-LeiYL #order #recognition #representation

Local Gradient Order Pattern for Face Representation and Recognition (ZL, DY, SZL), pp. 387–392.

ICPR-2014-LiangZ #3d #modelling #recognition

3D Motion Trail Model Based Pyramid Histograms of Oriented Gradient for Action Recognition (BL, LZ), pp. 1952–1957.

ICPR-2014-SaleemBS #image #robust #symmetry

A Gradient Extension of Center Symmetric Local Binary Patterns for Robust RGB-NIR Image Matching (SS, AB, RS), pp. 815–820.

ICPR-2014-ShivakumaraSPBT #identification #video

Gradient-Angular-Features for Word-wise Video Script Identification (PS, NS, UP, MB, CLT), pp. 3098–3103.

ICPR-2014-ZhangWL #using #video

Video Text Extraction Using the Fusion of Color Gradient and Log-Gabor Filter (ZZ, WW, KL), pp. 2938–2943.

KDD-2014-XuHWZ #feature model

Gradient boosted feature selection (ZEX, GH, KQW, AXZ), pp. 522–531.

RecSys-2014-ChengXZKL

Gradient boosting factorization machines (CC, FX, TZ, IK, MRL), pp. 265–272.

RecSys-2014-PetroniQ #clustering #distributed #graph #matrix #named #probability

GASGD: stochastic gradient descent for distributed asynchronous matrix completion via graph partitioning (FP, LQ), pp. 241–248.

ICDAR-2013-BaiYL #correlation #locality #using

Scene Text Localization Using Gradient Local Correlation (BB, FY, CLL), pp. 1380–1384.

ICDAR-2013-JainD13a #identification #using

Writer Identification Using an Alphabet of Contour Gradient Descriptors (RJ, DSD), pp. 550–554.

ICDAR-2013-Siriteerakul #classification

Mixed Thai-English Character Classification Based on Histogram of Oriented Gradient Feature (TS), pp. 847–851.

ICDAR-2013-TianLST #recognition #using

Scene Text Recognition Using Co-occurrence of Histogram of Oriented Gradients (ST, SL, BS, CLT), pp. 912–916.

STOC-2013-CheungCD

Tatonnement beyond gross substitutes?: gradient descent to the rescue (YKC, RC, NRD), pp. 191–200.

DHM-SET-2013-LungLJ

Plantar Pressure Gradient Angles to Evaluate Risk of Diabetic Foot Ulcer (CWL, BYL, YKJ), pp. 240–247.

ICML-c1-2013-ChenLYY #functional #matrix #using

General Functional Matrix Factorization Using Gradient Boosting (TC, HL, QY, YY), pp. 436–444.

ICML-c1-2013-Hennig #optimisation #performance #probability

Fast Probabilistic Optimization from Noisy Gradients (PH), pp. 62–70.

ICML-c1-2013-Shamir0 #convergence #optimisation #probability

Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes (OS, TZ), pp. 71–79.

ICML-c1-2013-Suzuki #multi #online

Dual Averaging and Proximal Gradient Descent for Online Alternating Direction Multiplier Method (TS), pp. 392–400.

ICML-c3-2013-ChenLZ #crowdsourcing #policy

Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing (XC, QL, DZ), pp. 64–72.

KDD-2013-Mu0ZT #probability #problem #scalability

Constrained stochastic gradient descent for large-scale least squares problem (YM, WD, TZ, DT), pp. 883–891.

ICML-2012-AhnBW #probability

Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring (SA, AKB, MW), p. 230.

ICML-2012-BachLO #algorithm #equivalence #on the

On the Equivalence between Herding and Conditional Gradient Algorithms (FRB, SLJ, GO), p. 176.

ICML-2012-CastroTM #policy

Policy Gradients with Variance Related Risk Criteria (DDC, AT, SM), p. 215.

ICML-2012-HoiWZJW #algorithm #bound #kernel #learning #online #performance #scalability

Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning (SCHH, JW, PZ, RJ, PW), p. 141.

ICML-2012-RakhlinSS #optimisation #probability

Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization (AR, OS, KS), p. 204.

ICML-2012-XiaoZ #problem

A Proximal-Gradient Homotopy Method for the L1-Regularized Least-Squares Problem (LX, TZ), p. 160.

ICPR-2012-ItoOWK #detection

Detection of eyes by circular Hough transform and histogram of gradient (YI, WO, TW, FK), pp. 1795–1798.

ICPR-2012-LiJ #estimation

Vanishing point estimation by spherical gradient (SL, HJ), pp. 902–905.

ICPR-2012-PerezMMSV #recognition #using

Combining gradient histograms using orientation tensors for human action recognition (EdAP, VFM, LMM, DOS, MBV), pp. 3460–3463.

ICPR-2012-PhanST #detection #symmetry #using

Text detection in natural scenes using Gradient Vector Flow-Guided symmetry (TQP, PS, CLT), pp. 3296–3299.

ICPR-2012-RoySRT #video

Wavelet-gradient-fusion for video text binarization (SR, PS, PPR, CLT), pp. 3300–3303.

ICDAR-2011-NewellG #multi #recognition #robust

Multiscale Histogram of Oriented Gradient Descriptors for Robust Character Recognition (AJN, LDG), pp. 1085–1089.

ICDAR-2011-PhanSST #segmentation #video

A Gradient Vector Flow-Based Method for Video Character Segmentation (TQP, PS, BS, CLT), pp. 1024–1028.

ICDAR-2011-ShivakumaraBSTP #recognition #segmentation #video

A New Gradient Based Character Segmentation Method for Video Text Recognition (PS, SB, BS, CLT, UP), pp. 126–130.

ICML-2011-ChoRI #adaptation #learning #strict

Enhanced Gradient and Adaptive Learning Rate for Training Restricted Boltzmann Machines (KC, TR, AI), pp. 105–112.

ICML-2011-WellingT #learning #probability

Bayesian Learning via Stochastic Gradient Langevin Dynamics (MW, YWT), pp. 681–688.

ICML-2011-WickRBCM #graph #named

SampleRank: Training Factor Graphs with Atomic Gradients (MLW, KR, KB, AC, AM), pp. 777–784.

KDD-2011-GemullaNHS #distributed #matrix #probability #scalability

Large-scale matrix factorization with distributed stochastic gradient descent (RG, EN, PJH, YS), pp. 69–77.

RecSys-2011-TakacsPT #collaboration #feedback

Applications of the conjugate gradient method for implicit feedback collaborative filtering (GT, IP, DT), pp. 297–300.

SIGIR-2011-GanjisaffarCL #modelling #precise #ranking

Bagging gradient-boosted trees for high precision, low variance ranking models (YG, RC, CVL), pp. 85–94.

CASE-2010-ChanR #clustering #estimation #multi #on the #scheduling #tool support

On gradient estimation of scheduling for multi-cluster tools with general robot moving times (WK(C, TMR), pp. 112–117.

ICPR-2010-BasakKTR #approach #identification #multi

A Gradient Descent Approach for Multi-modal Biometric Identification (JB, KK, VT, NKR), pp. 1322–1325.

ICPR-2010-KeuperBRPH #3d #robust

Mean Shift Gradient Vector Flow: A Robust External Force Field for 3D Active Surfaces (MK, HB, OR, JP, PH), pp. 2784–2787.

ICPR-2010-SuLT #image #robust

Robust Fourier-Based Image Alignment with Gradient Complex Image (HRS, SHL, YHT), pp. 2378–2381.

ICPR-2010-TresadernC #constraints #performance

Gradient Constraints Can Improve Displacement Expert Performance (PAT, TFC), pp. 157–160.

ICPR-2010-WijnhovenW #detection #performance #probability #using

Fast Training of Object Detection Using Stochastic Gradient Descent (RGJW, PHNdW), pp. 424–427.

ICPR-2010-YaoYH #correlation #evaluation #image #locality

Localized Image Matte Evaluation by Gradient Correlation (GY, HY, QH), pp. 332–335.

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.

ICPR-2010-ZhangK10a #detection #graph #using

Text Detection Using Edge Gradient and Graph Spectrum (JZ, RK), pp. 3979–3982.

ICDAR-2009-ShivakumaraPT #detection #difference #video

A Gradient Difference Based Technique for Video Text Detection (PS, TQP, CLT), pp. 156–160.

CIKM-2009-YeCCZ #distributed #probability

Stochastic gradient boosted distributed decision trees (JY, JHC, JC, ZZ), pp. 2061–2064.

ICML-2009-BoulariasC #policy #predict

Predictive representations for policy gradient in POMDPs (AB, BCd), pp. 65–72.

ICML-2009-GargK #algorithm #strict

Gradient descent with sparsification: an iterative algorithm for sparse recovery with restricted isometry property (RG, RK), pp. 337–344.

ICML-2009-JiY

An accelerated gradient method for trace norm minimization (SJ, JY), pp. 457–464.

ICML-2009-SuttonMPBSSW #approximate #learning #linear #performance

Fast gradient-descent methods for temporal-difference learning with linear function approximation (RSS, HRM, DP, SB, DS, CS, EW), pp. 993–1000.

ICML-2009-YiWSS #probability #using

Stochastic search using the natural gradient (YS, DW, TS, JS), pp. 1161–1168.

SAC-2009-Beal #flexibility #self

Flexible self-healing gradients (JB), pp. 1197–1201.

SAC-2009-ChenJ #evolution

A gradient oriented recombination scheme for evolution strategies (HC, GJ), pp. 1080–1084.

SAC-2009-FlorezL #video

Discovery of time series in video data through distribution of spatiotemporal gradients (OUF, SL), pp. 1816–1820.

DATE-2008-XiongZV #incremental

Incremental Criticality and Yield Gradients (JX, VZ, CV), pp. 1130–1135.

STOC-2008-AwerbuchK #distributed #linear #source code

Stateless distributed gradient descent for positive linear programs (BA, RK), pp. 691–700.

ICML-2008-KerstingD #parametricity #policy #relational

Non-parametric policy gradients: a unified treatment of propositional and relational domains (KK, KD), pp. 456–463.

ICML-2008-Li #approximate #comparison #difference #linear #worst-case

A worst-case comparison between temporal difference and residual gradient with linear function approximation (LL), pp. 560–567.

ICML-2008-Tieleman #approximate #strict #using

Training restricted Boltzmann machines using approximations to the likelihood gradient (TT), pp. 1064–1071.

ICPR-2008-ChuangHFH #detection #multi #using

Monocular multi-human detection using Augmented Histograms of Oriented Gradients (CHC, SSH, LCF, PYH), pp. 1–4.

ICPR-2008-EngelC #invariant

Scale-invariant medial features based on gradient vector flow fields (DE, CC), pp. 1–4.

ICPR-2008-IzadiS #robust #using

Robust region-based background subtraction and shadow removing using color and gradient information (MI, PS), pp. 1–5.

ICPR-2008-KiserSM #algorithm

Accelerating active contour algorithms with the Gradient Diffusion Field (WK, PS, CM), pp. 1–4.

ICPR-2008-MaL08a #approach #concept #detection #optimisation #performance #semantics

An efficient gradient computation approach to discriminative fusion optimization in semantic concept detection (CM, CHL), pp. 1–4.

ICPR-2008-ZhangLHT08a #3d #evaluation #locality #modelling #optimisation

3D model based vehicle localization by optimizing local gradient based fitness evaluation (ZZ, ML, KH, TT), pp. 1–4.

SAC-2008-BealBVT #performance #self

Fast self-healing gradients (JB, JB, DV, MT), pp. 1969–1975.

ICDAR-2007-LebourgeoisE

Skeletonization by Gradient Regularization and Diffusion (FL, HE), pp. 1118–1122.

STOC-2007-DunaganH

Iteratively constructing preconditioners via the conjugate gradient method (JD, NJAH), pp. 207–216.

ICML-2007-GeurtsWd #kernel

Gradient boosting for kernelized output spaces (PG, LW, FdB), pp. 289–296.

ICML-2007-GlobersonKCC #algorithm #predict

Exponentiated gradient algorithms for log-linear structured prediction (AG, TK, XC, MC), pp. 305–312.

KDD-2007-WanNHL #privacy

Privacy-preservation for gradient descent methods (LW, WKN, SH, VCSL), pp. 775–783.

SIGIR-2007-Metzler #modelling #parametricity #using

Using gradient descent to optimize language modeling smoothing parameters (DM), pp. 687–688.

ICML-2006-VishwanathanSSM #probability #random

Accelerated training of conditional random fields with stochastic gradient methods (SVNV, NNS, MWS, KPM), pp. 969–976.

ICPR-v2-2006-DaiZX #generative #image #sketching

Integrating EMD and Gradient for Generating Primal Sketch of Natural Images (FD, NZ, JX), pp. 429–432.

ICPR-v3-2006-GuoL #image #multi #using

Multi-modality Image Registration Using Mutual Information Based on Gradient Vector Flow (YG, CCL), pp. 697–700.

ICPR-v3-2006-KovalevP #classification

The Classification Gradient (VAK, MP), pp. 830–833.

ICPR-v3-2006-VidholmSN #3d

Accelerating the Computation of 3D Gradient Vector Flow Fields (EV, PS, IN), pp. 677–680.

ICPR-v3-2006-WenLG #image

Remote Sensing Image Fusion on Gradient Field (JW, YL, HG), pp. 643–646.

ICDAR-2005-LiuD #classification #multi #polynomial #recognition #using

Handwritten Character Recognition Using Gradient Feature and Quadratic Classifier with Multiple Discrimination Schemes (HL, XD), pp. 19–25.

ICDAR-2005-LiuKF #comparison #feature model #recognition

Gabor Feature Extraction for Character Recognition: Comparison with Gradient Feature (CLL, MK, HF), pp. 121–125.

ICML-2005-BurgesSRLDHH #learning #rank #using

Learning to rank using gradient descent (CJCB, TS, ER, AL, MD, NH, GNH), pp. 89–96.

ICML-2004-DietterichAB #random

Training conditional random fields via gradient tree boosting (TGD, AA, YB).

ICML-2004-HerschtalR #optimisation #using

Optimising area under the ROC curve using gradient descent (AH, BR).

ICML-2004-KimK #feature model

Gradient LASSO for feature selection (YK, JK).

ICML-2004-Zhang #algorithm #linear #predict #probability #problem #scalability #using

Solving large scale linear prediction problems using stochastic gradient descent algorithms (TZ0).

ICPR-v2-2004-SunWTC #estimation #recognition #robust

Robust Direction Estimation of Gradient Vector Field for Iris Recognition (ZS, YW, TT, JC), pp. 783–786.

ICPR-v2-2004-TamSS #categorisation #documentation

Applying the Conjugate Gradient Method for Text Document Categorization (VT, RS, AS), pp. 558–561.

ICPR-v2-2004-VillegerAB #image #probability #using

Image Disocclusion Using a Probabilistic Gradient Orientation (EV, GA, LBF), pp. 52–55.

ICPR-v3-2004-UmedaGR #constraints #image #using

Registration of Range and Color Images Using Gradient Constraints and Range Intensity Images (KU, GG, MR), pp. 12–15.

ICPR-v4-2004-SangiHS #analysis #difference #metric #using

Motion Analysis Using Frame Differences with Spatial Gradient Measures (PS, JH, OS), pp. 733–736.

ICDAR-2003-GocciaBSD #classification #feature model #optimisation #recognition

Recognition of Container Code Characters through Gray-Level Feature Extraction and Gradient-Based Classifier Optimization (MG, MB, CS, SGD), p. 973–?.

ICML-2003-GhavamzadehM #algorithm #policy

Hierarchical Policy Gradient Algorithms (MG, SM), pp. 226–233.

ICML-2003-SalakhutdinovRG #optimisation

Optimization with EM and Expectation-Conjugate-Gradient (RS, STR, ZG), pp. 672–679.

ICML-2003-SchoknechtM #algorithm #performance

TD(0) Converges Provably Faster than the Residual Gradient Algorithm (RS, AM), pp. 680–687.

ICML-2003-WangD #learning #modelling #policy

Model-based Policy Gradient Reinforcement Learning (XW, TGD), pp. 776–783.

ICML-2003-Zinkevich #online #programming

Online Convex Programming and Generalized Infinitesimal Gradient Ascent (MZ), pp. 928–936.

ICML-2002-AberdeenB #scalability

Scalable Internal-State Policy-Gradient Methods for POMDPs (DA, JB), pp. 3–10.

ICPR-v1-2002-PengYW #detection #image #similarity

Images Similarity Detection Based on Directional Gradient Angular Histogram (JP, BY, DW), pp. 147–150.

ICPR-v2-2002-LaiW #image #reliability

Reliable Image Matching Based on Relative Gradients (SHL, SDW), pp. 802–805.

ICPR-v2-2002-WildenauerMB #approach

A Gradient-Based Eigenspace Approach to Dealing with Occlusions and Non-Gaussian Noise (HW, TM, HB), pp. 977–980.

ICPR-v2-2002-YuB #image #segmentation #using

Image Segmentation Using Gradient Vector Diffusion and Region Merging (ZY, CLB), pp. 941–944.

VLDB-2001-DongHLPW #mining #multi

Mining Multi-Dimensional Constrained Gradients in Data Cubes (GD, JH, JMWL, JP, KW), pp. 321–330.

ICML-2001-BowlingV #convergence #learning

Convergence of Gradient Dynamics with a Variable Learning Rate (MHB, MMV), pp. 27–34.

ICML-2001-TaoBW #approach #multi #network

A Multi-Agent Policy-Gradient Approach to Network Routing (NT, JB, LW), pp. 553–560.

ICML-2000-BaxterB #learning

Reinforcement Learning in POMDP’s via Direct Gradient Ascent (JB, PLB), pp. 41–48.

ICML-2000-GrudicU #policy

Localizing Policy Gradient Estimates to Action Transition (GZG, LHU), pp. 343–350.

ICPR-v1-2000-Bourgeois #image #retrieval #using

Content Based Image Retrieval Using Gradient Color Fields (FLB), pp. 5027–5030.

ICPR-v2-2000-MacLeanT #image #pattern matching #pattern recognition #performance #recognition #using

Fast Pattern Recognition Using Gradient-Descent Search in an Image Pyramid (WJM, JKT), pp. 2873–2877.

ICPR-v3-2000-ChantlerM #classification #invariant #on the

On the Use of Gradient Space Eigenvalues for Rotation Invariant Texture Classification (MJC, GM), pp. 3943–3946.

ICPR-v3-2000-dOrnellas #approach #multi #segmentation

A Multi-Scale Gradient Approach for Color-Based Morphological Segmentation (MCd), pp. 3367–3370.

ICPR-v3-2000-GalambosKM #probability #using

Using Gradient Information to Enhance the Progressive Probabilistic Hough Transform (CG, JK, JM), pp. 3564–3567.

DAC-1999-ConnEMOSVW #optimisation #using

Gradient-Based Optimization of Custom Circuits Using a Static-Timing Formulation (ARC, IME, WWM, PRO, PNS, CV, CBW), pp. 452–459.

ICDAR-1999-FujisawaSWK #image #recognition #using

Handwritten Numeral Recognition using Gradient and Curvature of Gray Scale Image (YF, MS, TW, FK), pp. 277–280.

ICPR-1998-YangX #image #retrieval #scalability

Scaling laws in image gradient fields and texture retrieval (ZY, JX), pp. 1062–1064.

ICDAR-1997-SunS #documentation #image #using

Skew and Slant Correction for Document Images Using Gradient Direction (CS, DS), pp. 142–146.

ICML-1997-PrecupS #learning

Exponentiated Gradient Methods for Reinforcement Learning (DP, RSS), pp. 272–277.

IFL-1996-Serrarens #algorithm #functional #implementation

Implementing the Conjugate Gradient Algorithm in a Functional Language (PRS), pp. 125–140.

ICPR-1996-CrouzilMC #correlation #similarity

A new correlation criterion based on gradient fields similarity (AC, LMP, SC), pp. 632–636.

ICPR-1996-CucchiaraF #identification

The vector-gradient Hough transform for identifying straight-translation generated shapes (RC, FF), pp. 502–510.

ICPR-1996-LiuHHC #image #visual notation

Image gradient evolution-a visual cue for collision avoidance (HL, THH, MH, RC), pp. 446–450.

ICPR-1996-Singh #detection #recognition #using

Shape detection using gradient features for handwritten character recognition (SPS), pp. 145–149.

HPDC-1996-DincerFH #algorithm #fortran

High-Performance Fortran and Possible Extensions to Support Conjugate Gradient Algorithms (KD, GF, KAH), pp. 69–77.

STOC-1995-KivinenW #linear #predict

Additive versus exponentiated gradient updates for linear prediction (JK, MKW), pp. 209–218.

PPoPP-1993-YeungA #experience

Experience with Fine-Grain Synchronization in MIMD Machines for Preconditioned Conjugate Gradient (DY, AA), pp. 187–197.

PPoPP-1991-MeierE #algorithm #parallel #performance

Parallelization and Performance of Conjugate Gradient Algorithms on the Cedar Hierarchical-Memory Multiprocessor (UM, RE), pp. 178–188.