Stem histogram$ (all stems)

142 papers:

PODS-2015-AcharyaDHLS #algorithm #approximate #performance

Fast and Near-Optimal Algorithms for Approximating Distributions by Histograms (JA, ID, CH, JZL, LS), pp. 249–263.

PODS-2015-IndykLR #approximate #testing

Erratum for: Approximating and Testing k-Histogram Distributions in Sub-linear Time (PI, RL, RR), p. 343.

STOC-2015-BassilyS #performance #protocol

Local, Private, Efficient Protocols for Succinct Histograms (RB, ADS), pp. 127–135.

ICML-2015-LeC #learning #metric #using

Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transformations (TL, MC), pp. 2002–2011.

SIGIR-2015-KrstovskiSK #analysis #modelling #retrieval

Evaluating Retrieval Models through Histogram Analysis (KK, DAS, MJK), pp. 859–862.

SIGMOD-2014-IstvanWA #big data #data flow

Histograms as a side effect of data movement for big data (ZI, LW, GA), pp. 1567–1578.

SIGMOD-2014-MoerkotteDMNB #order

Exploiting ordered dictionaries to efficiently construct histograms with q-error guarantees in SAP HANA (GM, DD, NM, AN, AB), pp. 361–372.

ICML-c1-2014-ChanA #consistency #graph #modelling

A Consistent Histogram Estimator for Exchangeable Graph Models (SHC, EA), pp. 208–216.

ICPR-2014-ChevallierCA #estimation #image #metric #orthogonal #using

Computing Histogram of Tensor Images Using Orthogonal Series Density Estimation and Riemannian Metrics (EC, AC, JA), pp. 900–905.

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-LiangZ #3d #modelling #recognition

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

ICPR-2014-LuYXYWP #recognition #using

Finger Vein Recognition Using Histogram of Competitive Gabor Responses (YL, SY, SJX, JCY, ZW, DSP), pp. 1758–1763.

ICPR-2014-OhyamaYWK #recognition #using

Improving Accuracy of Printed Character Recognition Using Hexagonal Zoning of Directional Histogram Feature (WO, AY, TW, FK), pp. 2697–2702.

ICPR-2014-SlitiHBA #analysis #robust #using

A More Robust Mean Shift Tracker Using Joint Monogenic Signal Analysis and Color Histogram (OS, HH, FB, HA), pp. 2453–2458.

ICPR-2014-TianLL #image #modelling #segmentation

A Histogram-Based Chan-Vese Model Driven by Local Contrast Pattern for Texture Image Segmentation (HT, YL, JHL), pp. 954–959.

ICPR-2014-YangTL #energy #image #recognition #using

Gait Recognition Using Flow Histogram Energy Image (YY, DT, GL), pp. 444–449.

KDD-2014-TangL #probability #scalability

Scalable histograms on large probabilistic data (MT, FL), pp. 631–640.

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.

SIGMOD-2013-LinK #estimation #privacy #statistics

Information preservation in statistical privacy and bayesian estimation of unattributed histograms (BRL, DK), pp. 677–688.

VLDB-2013-BambaRHA #geometry #graph #performance #statistics

Statistics Collection in Oracle Spatial and Graph: Fast Histogram Construction for Complex Geometry Objects (BB, SR, YH, RA), pp. 1021–1032.

VLDB-2013-QardajiYL #comprehension

Understanding Hierarchical Methods for Differentially Private Histograms (WHQ, WY, NL), pp. 1954–1965.

SAC-2013-SouzaG #representation #video

Video shot representation based on histograms (TTdS, RG), pp. 961–966.

PODS-2012-IndykLR #approximate #testing

Approximating and testing k-histogram distributions in sub-linear time (PI, RL, RR), pp. 15–22.

ICPR-2012-FreytagFRD #kernel #performance #process #segmentation #semantics

Efficient semantic segmentation with Gaussian processes and histogram intersection kernels (AF, BF, ER, JD), pp. 3313–3316.

ICPR-2012-GuoZC #representation

Find dominant bins of a histogram by sparse representation (XG, ZCZ, AC), pp. 3038–3041.

ICPR-2012-ItoOWK #detection

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

ICPR-2012-ParisHG #analysis #categorisation #image #towards

Sparse coding for histograms of local binary patterns applied for image categorization: Toward a Bag-of-Scenes analysis (SP, XH, HG), pp. 2817–2820.

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-TabiaGL #quantifier #recognition

Motion histogram quantification for human action recognition (HT, MG, LL), pp. 2404–2407.

MLDM-2012-ForczmanskiF #classification #distance #representation

Classification of Elementary Stamp Shapes by Means of Reduced Point Distance Histogram Representation (PF, DF), pp. 603–616.

DocEng-2011-StoppeG

Skeleton comparisons: the junction neighbourhood histogram (JS, BG), pp. 93–96.

ICDAR-2011-HasegawaT #correlation

A Shape Descriptor Combining Logarithmic-Scale Histogram of Radon Transform and Phase-Only Correlation Function (MH, ST), pp. 182–186.

ICDAR-2011-NewellG #multi #recognition #robust

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

VLDB-2012-JestesYL11 #pipes and filters #scalability

Building Wavelet Histograms on Large Data in MapReduce (JJ, KY, FL), pp. 109–120.

SIGMOD-2010-KanneM

Histograms reloaded: the merits of bucket diversity (CCK, GM), pp. 663–674.

SIGMOD-2010-RohKCSK

Hierarchically organized skew-tolerant histograms for geographic data objects (YJR, JHK, YDC, JHS, MHK), pp. 627–638.

VLDB-2010-HayRMS #consistency

Boosting the Accuracy of Differentially Private Histograms Through Consistency (MH, VR, GM, DS), pp. 1021–1032.

ICPR-2010-Debled-RennessonW

Combining Force Histogram and Discrete Lines to Extract Dashed Lines (IDR, LW), pp. 1574–1577.

ICPR-2010-Kita #modelling

Background Modeling by Combining Joint Intensity Histogram with Time-sequential Data (YK), pp. 991–994.

ICPR-2010-LefakisWGS #detection

Boosted Edge Orientation Histograms for Grasping Point Detection (LL, HW, MPGT, LS), pp. 4072–4076.

ICPR-2010-OzdemirA #classification #image #representation #using

Image Classification Using Subgraph Histogram Representation (BÖ, SA), pp. 1112–1115.

ICPR-2010-SenechalBP #automation #detection #using

Automatic Facial Action Detection Using Histogram Variation Between Emotional States (TS, KB, LP), pp. 3752–3755.

ICPR-2010-ZachariaKMK #2d #approach #image #segmentation

A Spot Segmentation Approach for 2D Gel Electrophoresis Images Based on 2D Histograms (EZ, EK, DM, SK), pp. 2540–2543.

ICPR-2010-ZhangXW #data transformation #detection

Data Transformation of the Histogram Feature in Object Detection (RZ, BX, CW), pp. 2893–2896.

ICPR-2010-ZiaeefardE #recognition

Hierarchical Human Action Recognition by Normalized-Polar Histogram (MZ, HE), pp. 3720–3723.

ICDAR-2009-SantosCTC #segmentation

Text Line Segmentation Based on Morphology and Histogram Projection (RPdS, GSC, IRT, GDCC), pp. 651–655.

VLDB-2009-CormodeDGM #probability

Probabilistic Histograms for Probabilistic Data (GC, AD, MNG, AM), pp. 526–537.

VLDB-2009-Karras #scalability

Optimality and Scalability in Lattice Histogram Construction (PK), pp. 670–681.

VLDB-2009-KaushikS #consistency

Consistent Histograms In The Presence of Distinct Value Counts (RK, DS), pp. 850–861.

CIKM-2009-HalimKY #effectiveness #performance

Fast and effective histogram construction (FH, PK, RHCY), pp. 1167–1176.

ICLP-2009-BroechelerSS #logic programming #probability #query #source code #using

Using Histograms to Better Answer Queries to Probabilistic Logic Programs (MB, GIS, VSS), pp. 40–54.

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-IkizlerCD #recognition

Human action recognition with line and flow histograms (NI, RGC, PD), pp. 1–4.

ICPR-2008-Kita #case study #detection #image #using

A study of change detection from satellite images using joint intensity histogram (YK), pp. 1–4.

ICPR-2008-NiM

Force histograms computed in O(NlogN) (JN, PM), pp. 1–4.

ICPR-2008-TabboneTB #retrieval

Histogram of radon transform. A useful descriptor for shape retrieval (ST, ORT, SB), pp. 1–4.

ICPR-2008-XiaoCZ #correlation

Entropic thresholding based on gray-level spatial correlation histogram (YX, ZC, TZ), pp. 1–4.

ICPR-2008-XuanSCTTL #image

Reversible binary image data hiding by run-length histogram modification (GX, YQS, PC, XT, JT, JL), pp. 1–4.

SAC-2008-FilhoH #summary #xml

Accurate histogram-based XML summarization (JdAMF, TH), pp. 998–1002.

ICDAR-2007-SuZHZ07a #detection

Skew Detection for Chinese Handwriting by Horizontal Stroke Histogram (THS, TWZ, HJH, YZ), pp. 899–903.

VLDB-2007-SchollBGKWRK #data transformation #in memory #memory management #named

HiSbase: Histogram-based P2P Main Memory Data Management (TS, BB, BG, RK, DW, AR, AK), pp. 1394–1397.

CIKM-2007-EavisL #estimation #multi #named

Rk-hist: an r-tree based histogram for multi-dimensional selectivity estimation (TE, AL), pp. 475–484.

MLDM-2007-YuZWZ #3d #image #retrieval

A Filter-Refinement Scheme for 3D Model Retrieval Based on Sorted Extended Gaussian Image Histogram (ZY, SZ, HSW, JZ), pp. 643–652.

VLDB-2006-ReissGH #identifier

Compact Histograms for Hierarchical Identifiers (FR, MNG, JMH), pp. 870–881.

ICPR-v2-2006-Kita #detection #using

Change detection using joint intensity histogram (YK), pp. 351–356.

ICPR-v2-2006-WangZC #locality #performance #using

Efficient Topological Localization Using Orientation Adjacency Coherence Histograms (JW, HZ, RC), pp. 271–274.

ICPR-v3-2006-ChairunnandaGC #distance #edit distance #sequence #using

Enhancing Edit Distance on Real Sequences Filters using Histogram Distance on Fixed Reference Ordering (PC, VG, LC), pp. 582–585.

ICPR-v3-2006-JiaZHW #classification

Gaussian Weighted Histogram Intersection for License Plate Classification (WJ, HZ, XH, QW), pp. 574–577.

ICPR-v3-2006-Wang06a #analysis #using

Abnormal Walking Gait Analysis Using Silhouette-Masked Flow Histograms (LW0), pp. 473–476.

ICPR-v4-2006-HuangCC #image

Contrast Context Histogram — A Discriminating Local Descriptor for Image Matching (CRH, CSC, PCC), pp. 53–56.

ICPR-v4-2006-Onoguchi #correlation #detection #using

Moving Object Detection Using a Cross Correlation between a Short Accumulated Histogram and a Long Accumulated Histogram (KO), pp. 896–899.

ICPR-v4-2006-ShanZSCG06a #recognition

Ensemble of Piecewise FDA Based on Spatial Histograms of Local (Gabor) Binary Patterns for Face Recognition (SS, WZ, YS, XC, WG), pp. 606–609.

SAC-2006-FelipeTT #image #retrieval #similarity

A new similarity measure for histograms applied to content-based retrieval of medical images (JCF, AJMT, CTJ), pp. 258–259.

SAC-2006-GamaP #data mining #data type #mining

Discretization from data streams: applications to histograms and data mining (JG, CP), pp. 662–667.

DATE-2005-IranliFP #named #scalability

HEBS: Histogram Equalization for Backlight Scaling (AI, HF, MP), pp. 346–351.

PODS-2005-Dobra #approximate #question

Histograms revisited: when are histograms the best approximation method for aggregates over joins? (AD), pp. 228–237.

VLDB-2005-LimWV #classification #estimation #online #string #xml

CXHist : An On-line Classification-Based Histogram for XML String Selectivity Estimation (LL, MW, JSV), pp. 1187–1198.

CIKM-2005-KoloniariPPT #query #using

Query workload-aware overlay construction using histograms (GK, YP, EP, TT), pp. 640–647.

SAC-2005-FurfaroMSS #multi

Hierarchical binary histograms for summarizing multi-dimensional data (FF, GMM, DS, CS), pp. 598–603.

SAC-2005-GiannellaS #estimation

An information theoretic histogram for single dimensional selectivity estimation (CG, BS), pp. 676–677.

VLDB-2004-GuhaSW #algorithm #fault #named

REHIST: Relative Error Histogram Construction Algorithms (SG, KS, JW), pp. 300–311.

VLDB-2004-WangJLY #estimation #xml

Bloom Histogram: Path Selectivity Estimation for XML Data with Updates (WW, HJ, HL, JXY), pp. 240–251.

ICPR-v2-2004-LindeL #higher-order #recognition #using

Object Recognition Using Composed Receptive Field Histograms of Higher Dimensionality (OL, TL), pp. 1–6.

ICPR-v2-2004-OhteraH #identification #using

Faxed Form Identification using Histogram of the Hough-Space (RO, TH), pp. 566–569.

ICPR-v4-2004-FuYHT #clustering #detection #multi #using

Mixture Clustering Using Multidimensional Histograms for Skin Detection (ZF, JY, WH, TT), pp. 549–552.

ICPR-v4-2004-PeiZ #image #multi

Hiding Multiple Data in Color Images by Histogram Modification (SCP, YCZ), pp. 799–802.

DRR-2003-CinqueLMR #theorem

Fermat theorem and elliptic color histogram features (LC, SL, AM, FDR), pp. 234–240.

ICDAR-2003-YonekuraF #2d #clustering #segmentation

Postal Envelope Segmentation by 2-D Histogram Clustering through Watershed Transform (EAY, JF), pp. 338–342.

VLDB-2003-Ioannidis

The History of Histograms (abridged) (YEI), pp. 19–30.

VLDB-2003-LimWV #adaptation #named #self #set

SASH: A Self-Adaptive Histogram Set for Dynamically Changing Workloads (LL, MW, JSV), pp. 369–380.

VLDB-2003-LinLYZ #dataset #multi #scalability

Multiscale Histograms: Summarizing Topological Relations in Large Spatial Datasets (XL, QL, YY, XZ), pp. 814–825.

PODS-2002-GuhaKS #algorithm #performance

Fast Algorithms For Hierarchical Range Histogram Construction (SG, NK, DS), pp. 180–187.

SIGMOD-2002-ThaperGIK #multi

Dynamic multidimensional histograms (NT, SG, PI, NK), pp. 428–439.

VLDB-2002-LimWPVP #estimation #markov #named #online #self #xml

XPathLearner: An On-line Self-Tuning Markov Histogram for XML Path Selectivity Estimation (LL, MW, SP, JSV, RP), pp. 442–453.

STOC-2002-GilbertGIKMS #algorithm #approximate #maintenance #performance

Fast, small-space algorithms for approximate histogram maintenance (ACG, SG, PI, YK, SM, MS), pp. 389–398.

ICALP-2002-GuhaIMS #data type #performance

Histogramming Data Streams with Fast Per-Item Processing (SG, PI, SM, MS), pp. 681–692.

ICPR-v1-2002-MitaniYKUMH

Combining the Gabor and Histogram Features for Classifying Diffuse Lung Opacities in Thin-Section Computed Tomography (YM, HY, SK, KU, NM, YH), pp. 53–56.

ICPR-v1-2002-MorenoTAS #3d #realtime

3D Real-Time Head Tracking Fusing Color Histograms and Stereovision (FM, AT, JAC, AS), pp. 368–371.

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-TweedM #analysis #automation #detection

Automatic Detection of Regions of Interest in Mammographies Based on a Combined Analysis of Texture and Histogram (TT, SM), pp. 448–452.

ICPR-v3-2002-SiggelkowB #classification #image #retrieval

Improvement of Histogram-Based Image Retrieval and Classification (SS, HB), pp. 367–370.

ICPR-v4-2002-StevensCM #consistency

A Histogram-Based Color Consistency Test for Voxel Coloring (MRS, WBC, TM), pp. 118–121.

ICPR-v4-2002-WangTSHNY #image

Registering Panoramic Range Data and Omni-directional Color Image Based on Edge Histograms (CW, HT, YS, HH, YN, KY), pp. 355–358.

DATE-2001-AzaisBBR #implementation #linear

Implementation of a linear histogram BIST for ADCs (FA, SB, YB, MR), pp. 590–595.

STOC-2001-GuhaKS

Data-streams and histograms (SG, NK, KS), pp. 471–475.

ICEIS-v2-2001-TehZ #using #web

The Web Server Using Dynamic Histograms (YWT, ABZ), pp. 962–966.

PODS-2000-KoudasMS #query

Optimal Histograms for Hierarchical Range Queries (NK, SM, DS), pp. 196–204.

VLDB-2000-MatiasVW #maintenance

Dynamic Maintenance of Wavelet-Based Histograms (YM, JSV, MW), pp. 101–110.

ICEIS-2000-OommenR #comparison #empirical #optimisation #query

An Empirical Comparison of Histogram-Like Techniques for Query Optimization (BJO, LR), pp. 71–78.

ICPR-v1-2000-ShioyamaWM #cumulative #detection

Object Detection with Gabor Filters and Cumulative Histograms (TS, HW, SM), pp. 1704–1707.

ICPR-v2-2000-ChaS #distance #metric #similarity

Distance between Histograms of Angular Measurements and its Application to Handwritten Character Similarity (SHC, SNS), pp. 2021–2024.

ICPR-v2-2000-ChoudhuryP #modelling #robust

Motion Field Histograms for Robust Modeling of Facial Expressions (TC, AP), pp. 2929–2932.

ICPR-v2-2000-GuillametV #comparison #recognition

A Comparison of Global versus Local Color Histograms for Object Recognition (DG, JV), pp. 2422–2425.

ICPR-v2-2000-KudoIS #classification

A Histogram-Based Classifier on Overlapped Bins (MK, HI, MS), pp. 2029–2033.

ICPR-v2-2000-MatsakisW #classification

Orbit and Sinus Classification Based on Force Histogram Computation (PM, LW), pp. 2451–2454.

ICPR-v2-2000-StraussCA #robust #statistics

Rough Histograms for Robust Statistics (OS, FC, MJA), pp. 2684–2687.

ICPR-v3-2000-DuricRR

Qualitative Description of Camera Motion from Histograms of Normal Flow (ZD, ER, AR), pp. 3198–3202.

ICPR-v3-2000-MalkiMZB #composition

Directional Relations Composition by Orientation Histogram Fusion (JM, LM, EHZ, PB), pp. 3766–3765.

ICPR-v4-2000-KawataNOKKKMMNE #analysis

Computerized Analysis of Pulmonary Nodules in Topological and Histogram Feature Spaces (YK, NN, HO, RK, MK, MK, NM, KM, HN, KE), pp. 4332–4335.

SIGMOD-1999-AboulnagaC #self

Self-tuning Histograms: Building Histograms Without Looking at Data (AA, SC), pp. 181–192.

SIGMOD-1999-LeeKC #estimation #multi #using

Multi-dimensional Selectivity Estimation Using Compressed Histogram Information (JHL, DHK, CWC), pp. 205–214.

VLDB-1999-IoannidisP #approximate

Histogram-Based Approximation of Set-Valued Query-Answers (YEI, VP), pp. 174–185.

VLDB-1999-KonigW #estimation #parametricity #query

Combining Histograms and Parametric Curve Fitting for Feedback-Driven Query Result-size Estimation (ACK, GW), pp. 423–434.

SIGMOD-1998-ChaudhuriMN #how #question #random

Random Sampling for Histogram Construction: How much is enough? (SC, RM, VRN), pp. 436–447.

SIGMOD-1998-MatiasVW #estimation

Wavelet-Based Histograms for Selectivity Estimation (YM, JSV, MW), pp. 448–459.

VLDB-1998-JagadishKMPSS #quality

Optimal Histograms with Quality Guarantees (HVJ, NK, SM, VP, KCS, TS), pp. 275–286.

CIKM-1998-VitterWI #approximate

Data Cube Approximation and Histograms via Wavelets (JSV, MW, BRI), pp. 96–104.

ICPR-1998-ChengC #2d #fuzzy

Thresholding based on fuzzy partition of 2D histogram (HDC, YHC), pp. 1616–1618.

ICPR-1998-HofmannP #modelling

Mixture models for co-occurrence and histogram data (TH, JP), pp. 192–194.

ICPR-1998-ValkealahtiO #multi

Reduced multidimensional histograms in color texture description (KV, EO), pp. 1057–1061.

VLDB-1997-GibbonsMP #approximate #incremental #maintenance #performance

Fast Incremental Maintenance of Approximate Histograms (PBG, YM, VP), pp. 466–475.

SIGMOD-1996-PoosalaIHS #estimation

Improved Histograms for Selectivity Estimation of Range Predicates (VP, YEI, PJH, EJS), pp. 294–305.

ICPR-1996-SchieleC #multi #probability #recognition #using

Probabilistic object recognition using multidimensional receptive field histograms (BS, JLC), pp. 50–54.

ICPR-1996-VinodM #using

Object location using complementary color features: histogram and DCT (VVV, HM), pp. 554–559.

ICDAR-v2-1995-ChangKRKK #algorithm #detection #documentation #image

Improved binarization algorithm for document image by histogram and edge detection (MSC, SMK, WSR, HGK, DJK), pp. 636–639.

ICDAR-v2-1995-TsengLT #image #segmentation

Circular histogram thresholding for color image segmentation (DCT, YFL, CTT), pp. 673–676.

SIGMOD-1995-IoannidisP #estimation #query

Balancing Histogram Optimality and Practicality for Query Result Size Estimation (YEI, VP), pp. 233–244.

PPoPP-1995-BaderJ #algorithm #case study #component #image #parallel

Parallel Algorithms for Image Histogramming and Connected Components with an Experimental Study (Extended Abstract) (DAB, JJ), pp. 123–133.

VLDB-1993-Ioannidis

Universality of Serial Histograms (YEI), pp. 256–267.

SAC-1993-Goforth #editing #interactive #simulation

Histogram Editing for Semi-Quantitative Data Input in Interactive Simulations (RRRG), pp. 627–633.

SIGMOD-1988-MuralikrishnaD #multi #query

Equi-Depth Histograms For Estimating Selectivity Factors For Multi-Dimensional Queries (MM, DJD), pp. 28–36.