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Stem histogram$ (all stems)

142 papers:

PODSPODS-2015-AcharyaDHLS #algorithm #approximate #performance
Fast and Near-Optimal Algorithms for Approximating Distributions by Histograms (JA, ID, CH, JZL, LS), pp. 249–263.
PODSPODS-2015-IndykLR #approximate #testing
Erratum for: Approximating and Testing k-Histogram Distributions in Sub-linear Time (PI, RL, RR), p. 343.
STOCSTOC-2015-BassilyS #performance #protocol
Local, Private, Efficient Protocols for Succinct Histograms (RB, ADS), pp. 127–135.
ICMLICML-2015-LeC #learning #metric #using
Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transformations (TL, MC), pp. 2002–2011.
SIGIRSIGIR-2015-KrstovskiSK #analysis #modelling #retrieval
Evaluating Retrieval Models through Histogram Analysis (KK, DAS, MJK), pp. 859–862.
SIGMODSIGMOD-2014-IstvanWA #big data #data flow
Histograms as a side effect of data movement for big data (ZI, LW, GA), pp. 1567–1578.
SIGMODSIGMOD-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.
ICMLICML-c1-2014-ChanA #consistency #graph #modelling
A Consistent Histogram Estimator for Exchangeable Graph Models (SHC, EA), pp. 208–216.
ICPRICPR-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.
ICPRICPR-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.
ICPRICPR-2014-LiangZ #3d #modelling #recognition
3D Motion Trail Model Based Pyramid Histograms of Oriented Gradient for Action Recognition (BL, LZ), pp. 1952–1957.
ICPRICPR-2014-LuYXYWP #recognition #using
Finger Vein Recognition Using Histogram of Competitive Gabor Responses (YL, SY, SJX, JCY, ZW, DSP), pp. 1758–1763.
ICPRICPR-2014-OhyamaYWK #recognition #using
Improving Accuracy of Printed Character Recognition Using Hexagonal Zoning of Directional Histogram Feature (WO, AY, TW, FK), pp. 2697–2702.
ICPRICPR-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.
ICPRICPR-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.
ICPRICPR-2014-YangTL #energy #image #recognition #using
Gait Recognition Using Flow Histogram Energy Image (YY, DT, GL), pp. 444–449.
KDDKDD-2014-TangL #probability #scalability
Scalable histograms on large probabilistic data (MT, FL), pp. 631–640.
ICDARICDAR-2013-Siriteerakul #classification
Mixed Thai-English Character Classification Based on Histogram of Oriented Gradient Feature (TS), pp. 847–851.
ICDARICDAR-2013-TianLST #recognition #using
Scene Text Recognition Using Co-occurrence of Histogram of Oriented Gradients (ST, SL, BS, CLT), pp. 912–916.
SIGMODSIGMOD-2013-LinK #estimation #privacy #statistics
Information preservation in statistical privacy and bayesian estimation of unattributed histograms (BRL, DK), pp. 677–688.
VLDBVLDB-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.
VLDBVLDB-2013-QardajiYL #comprehension
Understanding Hierarchical Methods for Differentially Private Histograms (WHQ, WY, NL), pp. 1954–1965.
SACSAC-2013-SouzaG #representation #video
Video shot representation based on histograms (TTdS, RG), pp. 961–966.
PODSPODS-2012-IndykLR #approximate #testing
Approximating and testing k-histogram distributions in sub-linear time (PI, RL, RR), pp. 15–22.
ICPRICPR-2012-FreytagFRD #kernel #performance #process #segmentation #semantics
Efficient semantic segmentation with Gaussian processes and histogram intersection kernels (AF, BF, ER, JD), pp. 3313–3316.
ICPRICPR-2012-GuoZC #representation
Find dominant bins of a histogram by sparse representation (XG, ZCZ, AC), pp. 3038–3041.
ICPRICPR-2012-ItoOWK #detection
Detection of eyes by circular Hough transform and histogram of gradient (YI, WO, TW, FK), pp. 1795–1798.
ICPRICPR-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.
ICPRICPR-2012-PerezMMSV #recognition #using
Combining gradient histograms using orientation tensors for human action recognition (EdAP, VFM, LMM, DOS, MBV), pp. 3460–3463.
ICPRICPR-2012-TabiaGL #quantifier #recognition
Motion histogram quantification for human action recognition (HT, MG, LL), pp. 2404–2407.
MLDMMLDM-2012-ForczmanskiF #classification #distance #representation
Classification of Elementary Stamp Shapes by Means of Reduced Point Distance Histogram Representation (PF, DF), pp. 603–616.
DocEngDocEng-2011-StoppeG
Skeleton comparisons: the junction neighbourhood histogram (JS, BG), pp. 93–96.
ICDARICDAR-2011-HasegawaT #correlation
A Shape Descriptor Combining Logarithmic-Scale Histogram of Radon Transform and Phase-Only Correlation Function (MH, ST), pp. 182–186.
ICDARICDAR-2011-NewellG #multi #recognition #robust
Multiscale Histogram of Oriented Gradient Descriptors for Robust Character Recognition (AJN, LDG), pp. 1085–1089.
VLDBVLDB-2012-JestesYL11 #pipes and filters #scalability
Building Wavelet Histograms on Large Data in MapReduce (JJ, KY, FL), pp. 109–120.
SIGMODSIGMOD-2010-KanneM
Histograms reloaded: the merits of bucket diversity (CCK, GM), pp. 663–674.
SIGMODSIGMOD-2010-RohKCSK
Hierarchically organized skew-tolerant histograms for geographic data objects (YJR, JHK, YDC, JHS, MHK), pp. 627–638.
VLDBVLDB-2010-HayRMS #consistency
Boosting the Accuracy of Differentially Private Histograms Through Consistency (MH, VR, GM, DS), pp. 1021–1032.
ICPRICPR-2010-Debled-RennessonW
Combining Force Histogram and Discrete Lines to Extract Dashed Lines (IDR, LW), pp. 1574–1577.
ICPRICPR-2010-Kita #modelling
Background Modeling by Combining Joint Intensity Histogram with Time-sequential Data (YK), pp. 991–994.
ICPRICPR-2010-LefakisWGS #detection
Boosted Edge Orientation Histograms for Grasping Point Detection (LL, HW, MPGT, LS), pp. 4072–4076.
ICPRICPR-2010-OzdemirA #classification #image #representation #using
Image Classification Using Subgraph Histogram Representation (, SA), pp. 1112–1115.
ICPRICPR-2010-SenechalBP #automation #detection #using
Automatic Facial Action Detection Using Histogram Variation Between Emotional States (TS, KB, LP), pp. 3752–3755.
ICPRICPR-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.
ICPRICPR-2010-ZhangXW #data transformation #detection
Data Transformation of the Histogram Feature in Object Detection (RZ, BX, CW), pp. 2893–2896.
ICPRICPR-2010-ZiaeefardE #recognition
Hierarchical Human Action Recognition by Normalized-Polar Histogram (MZ, HE), pp. 3720–3723.
ICDARICDAR-2009-SantosCTC #segmentation
Text Line Segmentation Based on Morphology and Histogram Projection (RPdS, GSC, IRT, GDCC), pp. 651–655.
VLDBVLDB-2009-CormodeDGM #probability
Probabilistic Histograms for Probabilistic Data (GC, AD, MNG, AM), pp. 526–537.
VLDBVLDB-2009-Karras #scalability
Optimality and Scalability in Lattice Histogram Construction (PK), pp. 670–681.
VLDBVLDB-2009-KaushikS #consistency
Consistent Histograms In The Presence of Distinct Value Counts (RK, DS), pp. 850–861.
CIKMCIKM-2009-HalimKY #effectiveness #performance
Fast and effective histogram construction (FH, PK, RHCY), pp. 1167–1176.
ICLPICLP-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.
ICPRICPR-2008-ChuangHFH #detection #multi #using
Monocular multi-human detection using Augmented Histograms of Oriented Gradients (CHC, SSH, LCF, PYH), pp. 1–4.
ICPRICPR-2008-IkizlerCD #recognition
Human action recognition with line and flow histograms (NI, RGC, PD), pp. 1–4.
ICPRICPR-2008-Kita #case study #detection #image #using
A study of change detection from satellite images using joint intensity histogram (YK), pp. 1–4.
ICPRICPR-2008-NiM
Force histograms computed in O(NlogN) (JN, PM), pp. 1–4.
ICPRICPR-2008-TabboneTB #retrieval
Histogram of radon transform. A useful descriptor for shape retrieval (ST, ORT, SB), pp. 1–4.
ICPRICPR-2008-XiaoCZ #correlation
Entropic thresholding based on gray-level spatial correlation histogram (YX, ZC, TZ), pp. 1–4.
ICPRICPR-2008-XuanSCTTL #image
Reversible binary image data hiding by run-length histogram modification (GX, YQS, PC, XT, JT, JL), pp. 1–4.
SACSAC-2008-FilhoH #summary #xml
Accurate histogram-based XML summarization (JdAMF, TH), pp. 998–1002.
ICDARICDAR-2007-SuZHZ07a #detection
Skew Detection for Chinese Handwriting by Horizontal Stroke Histogram (THS, TWZ, HJH, YZ), pp. 899–903.
VLDBVLDB-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.
CIKMCIKM-2007-EavisL #estimation #multi #named
Rk-hist: an r-tree based histogram for multi-dimensional selectivity estimation (TE, AL), pp. 475–484.
MLDMMLDM-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.
VLDBVLDB-2006-ReissGH #identifier
Compact Histograms for Hierarchical Identifiers (FR, MNG, JMH), pp. 870–881.
ICPRICPR-v2-2006-Kita #detection #using
Change detection using joint intensity histogram (YK), pp. 351–356.
ICPRICPR-v2-2006-WangZC #locality #performance #using
Efficient Topological Localization Using Orientation Adjacency Coherence Histograms (JW, HZ, RC), pp. 271–274.
ICPRICPR-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.
ICPRICPR-v3-2006-JiaZHW #classification
Gaussian Weighted Histogram Intersection for License Plate Classification (WJ, HZ, XH, QW), pp. 574–577.
ICPRICPR-v3-2006-Wang06a #analysis #using
Abnormal Walking Gait Analysis Using Silhouette-Masked Flow Histograms (LW0), pp. 473–476.
ICPRICPR-v4-2006-HuangCC #image
Contrast Context Histogram — A Discriminating Local Descriptor for Image Matching (CRH, CSC, PCC), pp. 53–56.
ICPRICPR-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.
ICPRICPR-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.
SACSAC-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.
SACSAC-2006-GamaP #data mining #data type #mining
Discretization from data streams: applications to histograms and data mining (JG, CP), pp. 662–667.
DATEDATE-2005-IranliFP #named #scalability
HEBS: Histogram Equalization for Backlight Scaling (AI, HF, MP), pp. 346–351.
PODSPODS-2005-Dobra #approximate #question
Histograms revisited: when are histograms the best approximation method for aggregates over joins? (AD), pp. 228–237.
VLDBVLDB-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.
CIKMCIKM-2005-KoloniariPPT #query #using
Query workload-aware overlay construction using histograms (GK, YP, EP, TT), pp. 640–647.
SACSAC-2005-FurfaroMSS #multi
Hierarchical binary histograms for summarizing multi-dimensional data (FF, GMM, DS, CS), pp. 598–603.
SACSAC-2005-GiannellaS #estimation
An information theoretic histogram for single dimensional selectivity estimation (CG, BS), pp. 676–677.
VLDBVLDB-2004-GuhaSW #algorithm #fault #named
REHIST: Relative Error Histogram Construction Algorithms (SG, KS, JW), pp. 300–311.
VLDBVLDB-2004-WangJLY #estimation #xml
Bloom Histogram: Path Selectivity Estimation for XML Data with Updates (WW, HJ, HL, JXY), pp. 240–251.
ICPRICPR-v2-2004-LindeL #higher-order #recognition #using
Object Recognition Using Composed Receptive Field Histograms of Higher Dimensionality (OL, TL), pp. 1–6.
ICPRICPR-v2-2004-OhteraH #identification #using
Faxed Form Identification using Histogram of the Hough-Space (RO, TH), pp. 566–569.
ICPRICPR-v4-2004-FuYHT #clustering #detection #multi #using
Mixture Clustering Using Multidimensional Histograms for Skin Detection (ZF, JY, WH, TT), pp. 549–552.
ICPRICPR-v4-2004-PeiZ #image #multi
Hiding Multiple Data in Color Images by Histogram Modification (SCP, YCZ), pp. 799–802.
DRRDRR-2003-CinqueLMR #theorem
Fermat theorem and elliptic color histogram features (LC, SL, AM, FDR), pp. 234–240.
ICDARICDAR-2003-YonekuraF #2d #clustering #segmentation
Postal Envelope Segmentation by 2-D Histogram Clustering through Watershed Transform (EAY, JF), pp. 338–342.
VLDBVLDB-2003-Ioannidis
The History of Histograms (abridged) (YEI), pp. 19–30.
VLDBVLDB-2003-LimWV #adaptation #named #self #set
SASH: A Self-Adaptive Histogram Set for Dynamically Changing Workloads (LL, MW, JSV), pp. 369–380.
VLDBVLDB-2003-LinLYZ #dataset #multi #scalability
Multiscale Histograms: Summarizing Topological Relations in Large Spatial Datasets (XL, QL, YY, XZ), pp. 814–825.
PODSPODS-2002-GuhaKS #algorithm #performance
Fast Algorithms For Hierarchical Range Histogram Construction (SG, NK, DS), pp. 180–187.
SIGMODSIGMOD-2002-ThaperGIK #multi
Dynamic multidimensional histograms (NT, SG, PI, NK), pp. 428–439.
VLDBVLDB-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.
STOCSTOC-2002-GilbertGIKMS #algorithm #approximate #maintenance #performance
Fast, small-space algorithms for approximate histogram maintenance (ACG, SG, PI, YK, SM, MS), pp. 389–398.
ICALPICALP-2002-GuhaIMS #data type #performance
Histogramming Data Streams with Fast Per-Item Processing (SG, PI, SM, MS), pp. 681–692.
ICPRICPR-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.
ICPRICPR-v1-2002-MorenoTAS #3d #realtime
3D Real-Time Head Tracking Fusing Color Histograms and Stereovision (FM, AT, JAC, AS), pp. 368–371.
ICPRICPR-v1-2002-PengYW #detection #image #similarity
Images Similarity Detection Based on Directional Gradient Angular Histogram (JP, BY, DW), pp. 147–150.
ICPRICPR-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.
ICPRICPR-v3-2002-SiggelkowB #classification #image #retrieval
Improvement of Histogram-Based Image Retrieval and Classification (SS, HB), pp. 367–370.
ICPRICPR-v4-2002-StevensCM #consistency
A Histogram-Based Color Consistency Test for Voxel Coloring (MRS, WBC, TM), pp. 118–121.
ICPRICPR-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.
DATEDATE-2001-AzaisBBR #implementation #linear
Implementation of a linear histogram BIST for ADCs (FA, SB, YB, MR), pp. 590–595.
STOCSTOC-2001-GuhaKS
Data-streams and histograms (SG, NK, KS), pp. 471–475.
ICEISICEIS-v2-2001-TehZ #using #web
The Web Server Using Dynamic Histograms (YWT, ABZ), pp. 962–966.
PODSPODS-2000-KoudasMS #query
Optimal Histograms for Hierarchical Range Queries (NK, SM, DS), pp. 196–204.
VLDBVLDB-2000-MatiasVW #maintenance
Dynamic Maintenance of Wavelet-Based Histograms (YM, JSV, MW), pp. 101–110.
ICEISICEIS-2000-OommenR #comparison #empirical #optimisation #query
An Empirical Comparison of Histogram-Like Techniques for Query Optimization (BJO, LR), pp. 71–78.
ICPRICPR-v1-2000-ShioyamaWM #cumulative #detection
Object Detection with Gabor Filters and Cumulative Histograms (TS, HW, SM), pp. 1704–1707.
ICPRICPR-v2-2000-ChaS #distance #metric #similarity
Distance between Histograms of Angular Measurements and its Application to Handwritten Character Similarity (SHC, SNS), pp. 2021–2024.
ICPRICPR-v2-2000-ChoudhuryP #modelling #robust
Motion Field Histograms for Robust Modeling of Facial Expressions (TC, AP), pp. 2929–2932.
ICPRICPR-v2-2000-GuillametV #comparison #recognition
A Comparison of Global versus Local Color Histograms for Object Recognition (DG, JV), pp. 2422–2425.
ICPRICPR-v2-2000-KudoIS #classification
A Histogram-Based Classifier on Overlapped Bins (MK, HI, MS), pp. 2029–2033.
ICPRICPR-v2-2000-MatsakisW #classification
Orbit and Sinus Classification Based on Force Histogram Computation (PM, LW), pp. 2451–2454.
ICPRICPR-v2-2000-StraussCA #robust #statistics
Rough Histograms for Robust Statistics (OS, FC, MJA), pp. 2684–2687.
ICPRICPR-v3-2000-DuricRR
Qualitative Description of Camera Motion from Histograms of Normal Flow (ZD, ER, AR), pp. 3198–3202.
ICPRICPR-v3-2000-MalkiMZB #composition
Directional Relations Composition by Orientation Histogram Fusion (JM, LM, EHZ, PB), pp. 3766–3765.
ICPRICPR-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.
SIGMODSIGMOD-1999-AboulnagaC #self
Self-tuning Histograms: Building Histograms Without Looking at Data (AA, SC), pp. 181–192.
SIGMODSIGMOD-1999-LeeKC #estimation #multi #using
Multi-dimensional Selectivity Estimation Using Compressed Histogram Information (JHL, DHK, CWC), pp. 205–214.
VLDBVLDB-1999-IoannidisP #approximate
Histogram-Based Approximation of Set-Valued Query-Answers (YEI, VP), pp. 174–185.
VLDBVLDB-1999-KonigW #estimation #parametricity #query
Combining Histograms and Parametric Curve Fitting for Feedback-Driven Query Result-size Estimation (ACK, GW), pp. 423–434.
SIGMODSIGMOD-1998-ChaudhuriMN #how #question #random
Random Sampling for Histogram Construction: How much is enough? (SC, RM, VRN), pp. 436–447.
SIGMODSIGMOD-1998-MatiasVW #estimation
Wavelet-Based Histograms for Selectivity Estimation (YM, JSV, MW), pp. 448–459.
VLDBVLDB-1998-JagadishKMPSS #quality
Optimal Histograms with Quality Guarantees (HVJ, NK, SM, VP, KCS, TS), pp. 275–286.
CIKMCIKM-1998-VitterWI #approximate
Data Cube Approximation and Histograms via Wavelets (JSV, MW, BRI), pp. 96–104.
ICPRICPR-1998-ChengC #2d #fuzzy
Thresholding based on fuzzy partition of 2D histogram (HDC, YHC), pp. 1616–1618.
ICPRICPR-1998-HofmannP #modelling
Mixture models for co-occurrence and histogram data (TH, JP), pp. 192–194.
ICPRICPR-1998-ValkealahtiO #multi
Reduced multidimensional histograms in color texture description (KV, EO), pp. 1057–1061.
VLDBVLDB-1997-GibbonsMP #approximate #incremental #maintenance #performance
Fast Incremental Maintenance of Approximate Histograms (PBG, YM, VP), pp. 466–475.
SIGMODSIGMOD-1996-PoosalaIHS #estimation
Improved Histograms for Selectivity Estimation of Range Predicates (VP, YEI, PJH, EJS), pp. 294–305.
ICPRICPR-1996-SchieleC #multi #probability #recognition #using
Probabilistic object recognition using multidimensional receptive field histograms (BS, JLC), pp. 50–54.
ICPRICPR-1996-VinodM #using
Object location using complementary color features: histogram and DCT (VVV, HM), pp. 554–559.
ICDARICDAR-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.
ICDARICDAR-v2-1995-TsengLT #image #segmentation
Circular histogram thresholding for color image segmentation (DCT, YFL, CTT), pp. 673–676.
SIGMODSIGMOD-1995-IoannidisP #estimation #query
Balancing Histogram Optimality and Practicality for Query Result Size Estimation (YEI, VP), pp. 233–244.
PPoPPPPoPP-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.
VLDBVLDB-1993-Ioannidis
Universality of Serial Histograms (YEI), pp. 256–267.
SACSAC-1993-Goforth #editing #interactive #simulation
Histogram Editing for Semi-Quantitative Data Input in Interactive Simulations (RRRG), pp. 627–633.
SIGMODSIGMOD-1988-MuralikrishnaD #multi #query
Equi-Depth Histograms For Estimating Selectivity Factors For Multi-Dimensional Queries (MM, DJD), pp. 28–36.

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