Stem neighbourhood$ (all stems)
15 papers:
- DLT-2015-NgRS #approximate #complexity #pattern matching
- State Complexity of Neighbourhoods and Approximate Pattern Matching (TN, DR, KS), pp. 389–400.
- ICEIS-v1-2015-ConstantinoTPLR #scheduling
- A Variable Neighbourhood Search for Nurse Scheduling with Balanced Preference Satisfaction (AAC, ET, RLP, DLS, WR), pp. 462–470.
- SIGIR-2013-MoranLO
- Neighbourhood preserving quantisation for LSH (SM, VL, MO), pp. 1009–1012.
- ICML-2012-DefazioC #collaboration #performance #visual notation
- A Graphical Model Formulation of Collaborative Filtering Neighbourhood Methods with Fast Maximum Entropy Training (AD, TSC), p. 75.
- SAC-2012-HeFP #constraints
- Solution neighbourhoods for constraint-directed local search (JH, PF, JP), pp. 74–79.
- DocEng-2011-StoppeG
- Skeleton comparisons: the junction neighbourhood histogram (JS, BG), pp. 93–96.
- KDIR-2011-GriffithOS #collaboration #learning #parametricity
- Learning Neighbourhood-based Collaborative Filtering Parameters (JG, CO, HS), pp. 452–455.
- RecSys-2011-BourkeMS #people #recommendation #social
- Power to the people: exploring neighbourhood formations in social recommender system (SB, KM, BS), pp. 337–340.
- SIGIR-2009-LathiaHC #adaptation #collaboration
- Temporal collaborative filtering with adaptive neighbourhoods (NL, SH, LC), pp. 796–797.
- ICEIS-J-2008-WengXLN08a #estimation #performance #recommendation
- An Efficient Neighbourhood Estimation Technique for Making Recommendations (LTW, YX, YL, RN), pp. 253–264.
- ICEIS-SAIC-2008-WengXLN #estimation #performance #recommendation
- Efficient Neighbourhood Estimation for Recommendation Making (LTW, YX, YL, RN), pp. 12–19.
- ICPR-v1-2004-SoaresM #analysis
- Watershed Lines Suppression by Waterfall Marker Improvement and Line-Neighbourhood Analysis (FS, FM), pp. 604–607.
- CAiSE-1997-GoncalvesSM #clustering #web
- Digital Neighbourhoods: Partitioning the Web for Information Indexing and Searching (PFG, ACS, SRdLM), pp. 289–302.
- ICPR-1996-Smith #flexibility
- Flexible filter neighbourhood designation (SMS), pp. 206–212.
- ICPR-1996-SmitsD #adaptation #approach #image #markov #random #segmentation #using
- Information fusion in a Markov random field-based image segmentation approach using adaptive neighbourhoods (PCS, SGD), pp. 570–575.