Stem prior$ (all stems)

119 papers:

ECIR-2015-BadacheB #documentation #social

Document Priors Based On Time-Sensitive Social Signals (IB, MB), pp. 617–622.

ICML-2015-DasBB #modelling #order #parametricity

Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models (MKD, TB, CB), pp. 550–559.

ICML-2015-TangSX #learning #network

Learning Scale-Free Networks by Dynamic Node Specific Degree Prior (QT, SS, JX), pp. 2247–2255.

KDD-2015-DevooghtKM #matrix

Dynamic Matrix Factorization with Priors on Unknown Values (RD, NK, AM), pp. 189–198.

KDD-2015-WeiLMCRS #predict #using

Predicting Serves in Tennis using Style Priors (XW, PL, SM, PC, MR, SS), pp. 2207–2215.

RecSys-2015-ValcarcePB #case study #modelling #recommendation

A Study of Priors for Relevance-Based Language Modelling of Recommender Systems (DV, JP, AB), pp. 237–240.

SIGIR-2015-FarSBFH #on the

On Term Selection Techniques for Patent Prior Art Search (MGF, SS, MRB, GF, DH), pp. 803–806.

ESEC-FSE-2015-CasalnuovoVDF #developer #experience #git #social

Developer onboarding in GitHub: the role of prior social links and language experience (CC, BV, PTD, VF), pp. 817–828.

CASE-2014-LiWC #using

Pedestrian tracking system by using human shape prior model (KCL, HCW, JMC), pp. 1139–1143.

DocEng-2014-GraafLTV #documentation #information management

The impact of prior knowledge on searching in software documentation (KAdG, PL, AT, HvV), pp. 189–198.

ITiCSE-2014-MishraBIM #information management

Effect of a 2-week scratch intervention in CS1 on learners with varying prior knowledge (SM, SB, SI, SM), pp. 45–50.

ICML-c2-2014-ScholzLIW #object-oriented

A Physics-Based Model Prior for Object-Oriented MDPs (JS, ML, CLIJ, DW), pp. 1089–1097.

ICPR-2014-ChengZSWY

Cross-Trees for Stereo Matching with Priors (FC, HZ, MS, HW, DY), pp. 208–213.

ICPR-2014-DanckaersHLLVDS

Correspondence Preserving Elastic Surface Registration with Shape Model Prior (FD, TH, DL, AL, SV, SVD, JS), pp. 2143–2148.

ICPR-2014-DongSFBC #3d

Three-Dimensional Deconvolution of Wide Field Microscopy with Sparse Priors: Application to Zebrafish Imagery (BD, LS, AFF, OB, MDC), pp. 865–870.

ICPR-2014-WangS #automation #dataset #multi #segmentation #using

Automatic Multi-organ Segmentation in Non-enhanced CT Datasets Using Hierarchical Shape Priors (CW, ÖS), pp. 3327–3332.

ICPR-2014-YangCCW #image

Fisher’s Discriminant with Natural Image Priors (YHY, LHC, CSC, CCW), pp. 4305–4309.

KDD-2014-RossCCD #clustering #process

Dual beta process priors for latent cluster discovery in chronic obstructive pulmonary disease (JCR, PJC, MHC, JGD), pp. 155–162.

CASE-2013-SehestedtPRL #3d #maintenance #performance

Prior-knowledge assisted fast 3D map building of structured environments for steel bridge maintenance (SS, GP, DRS, DL), pp. 1040–1046.

STOC-2013-ChawlaHMS #independence #scheduling

Prior-independent mechanisms for scheduling (SC, JDH, DLM, BS), pp. 51–60.

DUXU-WM-2013-WilkinsonLC #experience #interactive #learning

Exploring Prior Experience and the Effects of Age on Product Interaction and Learning (CRW, PL, PJC), pp. 457–466.

ECIR-2013-PeetzR #documentation

Cognitive Temporal Document Priors (MHP, MdR), pp. 318–330.

KDD-2013-ChakrabartiH #learning #scalability #social

Speeding up large-scale learning with a social prior (DC, RH), pp. 650–658.

RecSys-2013-GuoZTY #e-commerce #recommendation

Prior ratings: a new information source for recommender systems in e-commerce (GG, JZ, DT, NYS), pp. 383–386.

SKY-2013-RineF #complexity #information management #metric #quality #representation #requirements #using

Requirements Quality Knowledge Representation using Chunking Complexity Measurement: Prior to Formal Inspections (DCR, AF), pp. 3–13.

STOC-2012-BeiCGL #design

Budget feasible mechanism design: from prior-free to bayesian (XB, NC, NG, PL), pp. 449–458.

STOC-2012-LeonardiR #order

Prior-free auctions with ordered bidders (SL, TR), pp. 427–434.

CIKM-2012-ChenHZAHP #category theory #modelling #semantics #visual notation

Modeling semantic relations between visual attributes and object categories via dirichlet forest prior (XC, XH, ZZ, YA, TH, EKP), pp. 1263–1272.

ICML-2012-BorboudakisT #constraints #graph #information management #network

Incorporating Causal Prior Knowledge as Path-Constraints in Bayesian Networks and Maximal Ancestral Graphs (GB, IT), p. 59.

ICML-2012-PlessisS #learning

Semi-Supervised Learning of Class Balance under Class-Prior Change by Distribution Matching (MCdP, MS), p. 159.

ICML-2012-ZhangLLR #composition #rank

Improved Nystrom Low-rank Decomposition with Priors (KZ, LL, JL, AR), p. 22.

ICPR-2012-DuanHC #approach #image #segmentation

Shape prior regularized continuous max-flow approach to image segmentation (YD, WH, HC), pp. 2516–2519.

ICPR-2012-GhoseMOMLFVCSM #functional #probability #segmentation

A Mumford-Shah functional based variational model with contour, shape, and probability prior information for prostate segmentation (SG, JM, AO, RM, XL, JF, JCV, JC, DS, FM), pp. 121–124.

ICPR-2012-KockelkornSGRJVRSG #classification #interactive #simulation

Interactive classification of lung tissue in CT scans by combining prior and interactively obtained training data: A simulation study (TTJPK, CIS, JCG, RR, PAdJ, MAV, JR, CSP, BvG), pp. 105–108.

ICPR-2012-LiZZZS #image #taxonomy

Blind image deblurring based on sparse prior of dictionary pair (HL, YZ, HZ, YZ, JS), pp. 3054–3057.

ICPR-2012-YangKF #recognition

Decomposed contour prior for shape recognition (ZY, YK, YF), pp. 767–770.

ICPR-2012-YanXY0 #image #novel

Image super-resolution based on a novel edge sharpness prior (QY, YX, XY, KC), pp. 1056–1059.

ICPR-2012-ZangY0JZT #information management

A score-level fusion method with prior knowledge for fingerprint matching (YZ, XY, KC, XJ, NZ, JT), pp. 2379–2382.

ICPR-2012-ZhangZX #segmentation

MRI segmentation of brain tissue based on spatial prior and neighboring pixels affinities (ZZ, QZ, YX), pp. 89–92.

HCI-ITE-2011-HayashiKMO #information management #interactive

Influence of Prior Knowledge and Embodiment on Human-Agent Interaction (YH, VVK, KM, HO), pp. 513–522.

ECIR-2011-MagdyLJ

Simple vs. Sophisticated Approaches for Patent Prior-Art Search (WM, PL, GJFJ), pp. 725–728.

ICML-2011-PaisleyCB #process

Variational Inference for Stick-Breaking Beta Process Priors (JWP, LC, DMB), pp. 889–896.

RecSys-2011-ZhangAC #flexibility #matrix

Generalizing matrix factorization through flexible regression priors (LZ, DA, BCC), pp. 13–20.

ICSE-2011-MurtazaMGL #fault #using

Diagnosing new faults using mutants and prior faults (SSM, NHM, MG, ZL), pp. 960–963.

CIKM-2010-ChiZ #framework #information management #named

FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization (YC, SZ), pp. 569–578.

CIKM-2010-ZhangZ #modelling #personalisation #recommendation

Discriminative factored prior models for personalized content-based recommendation (LZ, YZ), pp. 1569–1572.

ECIR-2010-BashirR

Improving Retrievability of Patents in Prior-Art Search (SB, AR), pp. 457–470.

ICML-2010-HariharanZVV #classification #multi #scalability

Large Scale Max-Margin Multi-Label Classification with Priors (BH, LZM, SVNV, MV), pp. 423–430.

ICPR-2010-DaubneyX #3d #image #refinement #using

Estimating 3D Human Pose from Single Images Using Iterative Refinement of the Prior (BD, XX), pp. 3440–3443.

ICPR-2010-ErdoganG #using

Semi-blind Speech-Music Separation Using Sparsity and Continuity Priors (HE, EMG), pp. 4573–4576.

ICPR-2010-TanakaKO

Progressive MAP-based Deconvolution with Pixel-Dependent Gaussian Prior (MT, TK, MO), pp. 4428–4431.

KR-2010-HajishirziA #probability #reasoning

Reasoning about Deterministic Actions with Probabilistic Prior and Application to Stochastic Filtering (HH, EA).

SEKE-2010-WilliamsGRW #health #predict

Predicting Project Health Prior to Inception (RW, JG, KR, MW), pp. 640–644.

SIGIR-2010-AzzopardiFL #retrieval

Improving sentence retrieval with an importance prior (LA, RTF, DEL), pp. 779–780.

HCI-VAD-2009-MampadiCG #adaptation #hypermedia #information management #learning

The Effects of Prior Knowledge on the Use of Adaptive Hypermedia Learning Systems (FM, SYC, GG), pp. 156–165.

HIMI-DIE-2009-RottermannV #word

Reversing the Simon Effect with Prior Practice of Noncorresponding Location Words (AR, KPLV), pp. 287–295.

ICML-2009-AndrzejewskiZC #modelling #topic

Incorporating domain knowledge into topic modeling via Dirichlet Forest priors (DA, XZ, MC), pp. 25–32.

ICML-2009-PaisleyC #analysis #parametricity #process

Nonparametric factor analysis with beta process priors (JWP, LC), pp. 777–784.

SIGIR-2009-AminiU #algorithm #information management #multi #ranking #summary

Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization (MRA, NU), pp. 704–705.

SIGIR-2009-ParaparLB #documentation #modelling

Compression-based document length prior for language models (JP, DEL, AB), pp. 652–653.

SIGIR-2009-RavanaPM #using

System scoring using partial prior information (SDR, LAFP, AM), pp. 788–789.

SIGIR-2009-XueC #query

Transforming patents into prior-art queries (XX, WBC), pp. 808–809.

SCAM-2008-GermanRH #graph #impact analysis

Change Impact Graphs: Determining the Impact of Prior Code Changes (DMG, GR, AEH), pp. 184–193.

CSCW-2008-CummingsK #collaboration #distributed #experience #research

Who collaborates successfully?: prior experience reduces collaboration barriers in distributed interdisciplinary research (JNC, SBK), pp. 437–446.

ECIR-2008-BlancoB #documentation #modelling #probability

Probabilistic Document Length Priors for Language Models (RB, AB), pp. 394–405.

ICML-2008-QiLDC #multi #process

Multi-task compressive sensing with Dirichlet process priors (YQ, DL, DBD, LC), pp. 768–775.

ICPR-2008-FundanaHGS #graph #segmentation

Continuous graph cuts for prior-based object segmentation (KF, AH, CG, CS), pp. 1–4.

ICPR-2008-GuoYZZY #embedded #markov #random #using

Face super-resolution using 8-connected Markov Random Fields with embedded prior (KG, XY, RZ, GZ, SY), pp. 1–4.

ICPR-2008-ParkL #modelling #network

Face modeling and tracking with Gabor Wavelet Network prior (MP, SL), pp. 1–4.

ICPR-2008-TangG #constraints #graph #segmentation #video

Video object segmentation based on graph cut with dynamic shape prior constraint (PT, LG), pp. 1–4.

ICPR-2008-ZhangYDG #recognition #using

Handwritten Chinese character recognition using Local Discriminant Projection with Prior Information (HZ, JY, WD, JG), pp. 1–4.

SIGIR-2008-PengMO #automation #documentation #feature model #retrieval #web

Automatic document prior feature selection for web retrieval (JP, CM, IO), pp. 761–762.

ECIR-2007-PengO #documentation #information retrieval #web

Combination of Document Priors in Web Information Retrieval (JP, IO), pp. 732–736.

ICML-2007-LeeCVK #learning #multi

Learning a meta-level prior for feature relevance from multiple related tasks (SIL, VC, DV, DK), pp. 489–496.

KDD-2007-SatoN #documentation #information management #multi #parametricity #topic #using

Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior (IS, HN), pp. 590–598.

ITiCSE-2006-RauchasSK #education #experience #programming

The effect of prior programming experience in a scheme-based breadth-first curriculum at wits (SR, IDS, BK), p. 326.

ECIR-2006-SongXSWM #web

Exploring URL Hit Priors for Web Search (RS, GX, SS, JRW, WYM), pp. 277–288.

ICML-2006-McAuleyCSF #higher-order #image #learning

Learning high-order MRF priors of color images (JJM, TSC, AJS, MOF), pp. 617–624.

ICML-2006-RainaNK #learning #using

Constructing informative priors using transfer learning (RR, AYN, DK), pp. 713–720.

ICPR-v1-2006-KoTSH #image #learning #segmentation

A New Image Segmentation Method for Removing Background of Object Movies by Learning Shape Priors (CHK, YPT, ZCS, YPH), pp. 323–326.

ICPR-v1-2006-LinCW #detection #multi #queue #realtime

A Real-Time Multiple-Vehicle Detection and Tracking System with Prior Occlusion Detection and Resolution, and Prior Queue Detection and Resolution (SPL, YHC, BFW), pp. 828–831.

ICPR-v1-2006-ZuwalaR #information management

Browsing graphics without prior knowledge (DZ, JR), pp. 735–738.

ICPR-v2-2006-FangC #detection #robust #statistics #using

Using Statistical Shape Priors in Geodesic Active Contours for Robust Object Detection (WF, KLC), pp. 304–307.

ICPR-v2-2006-HuangS #geometry

Moment-based Shape Priors for Geometric Active Contours (FH, JS), pp. 56–59.

ICPR-v3-2006-NgOFGN #automation #image #information management #segmentation #using

Automatic Segmentation of Muscles of Mastication from Magnetic Resonance Images Using Prior Knowledge (HPN, SHO, KWCF, PSG, WLN), pp. 968–971.

ICPR-v4-2006-FusseneggerOP #locality #segmentation #using

Object localization/segmentation using generic shape priors (MF, AO, AP), pp. 41–44.

ICPR-v4-2006-WangJ #image #segmentation

Segmentation of the Left Ventricle from Cardiac MR Images Based on Degenerated Minimal Surface Diffusion and Shape Priors (YW, YJ), pp. 671–674.

KR-2006-DuboisGK #abduction #probability

Probabilistic Abduction without Priors (DD, AG, GKI), pp. 420–430.

SIGIR-2006-DayanikLMMG #classification

Constructing informative prior distributions from domain knowledge in text classification (AAD, DDL, DM, VM, AG), pp. 493–500.

SIGIR-2006-JiX #clustering #documentation #information management

Document clustering with prior knowledge (XJ, WX), pp. 405–412.

SIGIR-2006-MayfieldM #documentation #retrieval #using

Improving QA retrieval using document priors (JM, PM), pp. 677–678.

ICDAR-2005-ParkKK #image

An Example-based Prior Model for Text Image Super-resolution (JP, YK, JHK), pp. 374–378.

CSMR-2005-HostJ #performance #predict

Performance Prediction Based on Knowledge of Prior Product Versions (MH, EJ), pp. 12–20.

ECIR-2005-HauffA #analysis #documentation

Age Dependent Document Priors in Link Structure Analysis (CH, LA), pp. 552–554.

MLDM-2005-KarrasMGO #mining

Improved MRI Mining by Integrating Support Vector Machine Priors in the Bayesian Restoration (DAK, BGM, DGD, DvO), pp. 325–333.

SIGIR-2005-HeO #case study #normalisation

A study of the dirichlet priors for term frequency normalisation (BH, IO), pp. 465–471.

SAC-2005-BaglioniFT #information management

DrC4.5: Improving C4.5 by means of prior knowledge (MB, BF, FT), pp. 474–481.

ICEIS-v2-2004-CastilhoPL #clustering #information management #process

Informed K-Means: A Clustering Process biased by Prior Knowledge (WFC, HAdP, ML), pp. 469–475.

ICEIS-v2-2004-Grzeszczyk #network

Application of Neural Networks for Prior Appraisal of Structural Funds Project Proposals (TAG), pp. 501–504.

ICPR-v2-2004-WangXC #image #information management #retrieval

Incorporating Prior Knowledge into SVM for Image Retrieval (LW, PX, KLC), pp. 981–984.

ICPR-v4-2004-BoubchirFB #approximate #using

Bayesian Denoising in the Wavelet-Domain Using an Analytical Approximate a-Stable Prior (LB, MJF, DB), pp. 889–892.

ICPR-v4-2004-ChangL #detection #flexibility

Detecting Deformable Objects with Flexible Shape Priors (TLC, TLL), pp. 155–158.

KDD-2004-WuS #information management

Incorporating prior knowledge with weighted margin support vector machines (XW, RKS), pp. 326–333.

SIGIR-2004-Zhang #adaptation #classification #using

Using bayesian priors to combine classifiers for adaptive filtering (YZ0), pp. 345–352.

SIGIR-2004-ZhangV04a #detection #query

Detection and translation of OOV terms prior to query time (YZ, PV), pp. 524–525.

ITiCSE-2003-SchwarmV #assessment #concept #elicitation #information management #student #using

Making connections: using classroom assessment to elicit students’ prior knowledge and construction of concepts (SES, TV), pp. 65–69.

ICML-2002-KleinKM #clustering #constraints #information management

From Instance-level Constraints to Space-Level Constraints: Making the Most of Prior Knowledge in Data Clustering (DK, SDK, CDM), pp. 307–314.

ICML-2002-SchapireRRG #information management

Incorporating Prior Knowledge into Boosting (RES, MR, MGR, NKG), pp. 538–545.

ICPR-v1-2002-ChenM #3d #image #integration #modelling #segmentation

Integration of Gibbs Prior Models and Deformable Models for 3D Medical Image Segmentation (TC, DNM), pp. 719–722.

ICPR-v1-2002-Mignotte #multi #parametricity

Bayesian Rendering with Non-Parametric Multiscale Prior Model (MM), pp. 247–251.

ICPR-v2-2002-FookesBL #image #using

Improved Stereo Image Matching Using Mutual Information and Hierarchical Prior Probabilities (CF, MB, AL), pp. 937–940.

SIGIR-2002-KraaijWH

The Importance of Prior Probabilities for Entry Page Search (WK, TW, DH), pp. 27–34.

ICML-2000-ChownD #approach #divide and conquer #information management #learning

A Divide and Conquer Approach to Learning from Prior Knowledge (EC, TGD), pp. 143–150.

ICPR-v2-2000-KuritaTHSM #adaptation #detection #estimation #image #performance

Efficient Face Detection from News Images by Adaptive Estimation of Prior Probabilities and Ising Search (TK, MT, KH, HS, TM), pp. 2917–2920.

ICPR-v2-2000-Raudys #adaptation #classification

Prior Weights in Adaptive Pattern Classification (SR), pp. 6010–6013.

ICPR-v3-2000-HerlinB #estimation

Object Based Optical Flow Estimation with an Affine Prior Model (IH, DB), pp. 7060–7063.

KDD-2000-Buchanan #information management #source code #using

Informed knowledge discovery: using prior knowledge in discovery programs (invited talk, abstract only) (BGB), p. 3.

CIKM-1998-JacksonAKG #generative #information management #parsing #query #retrieval

Information Extraction from Case Low and Retrieval of Prior Cases by Partial Parsing and Query Generation (PJ, KAK, CK, BG), pp. 60–67.

ICSE-1991-CarusoD #information management #reliability

Integrating Prior Knowledge with a Software Reliability Growth Model (JMC, DWD), pp. 238–245.