14 papers:
CSCW-2014-0002CTS #twitter- Cursing in English on twitter (WW, LC, KT, APS), pp. 415–425.
ICEIS-v2-2014-BorattoC #clustering #collaboration #recommendation #using- Using Collaborative Filtering to Overcome the Curse of Dimensionality when Clustering Users in a Group Recommender System (LB, SC), pp. 564–572.
ICML-c2-2013-ErmonGSS #integration #optimisation- Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization (SE, CPG, AS, BS), pp. 334–342.
SIGIR-2008-KalashnikovNM #approach #people #quality #towards #web- Towards breaking the quality curse.: a web-querying approach to web people search (DVK, RNT, SM), pp. 27–34.
VLDB-2007-ManolescuM #assessment #database #evaluation #performance #question #research- Performance Evaluation and Experimental Assessment — Conscience or Curse of Database Research? (IM, SM), pp. 1441–1442.
ITiCSE-2006-Quade #hybrid #learning #re-engineering- Developing a hybrid software engineering curse that promotes project-based active learning (AMQ), p. 308.
VLDB-2005-Aggarwal #on the- On k-Anonymity and the Curse of Dimensionality (CCA), pp. 901–909.
CGO-2005-Amarasinghe #compilation #multi #question- Multicores from the Compiler’s Perspective: A Blessing or a Curse? (SPA), p. 137.
CIKM-2003-BhowmickVL #integration #named- HyperThesis: the gRNA spell on the curse of bioinformatics applications integration (SSB, VV, AVL), pp. 402–409.
KDD-2000-AggarwalY #similarity- The IGrid index: reversing the dimensionality curse for similarity indexing in high dimensional space (CCA, PSY), pp. 119–129.
VLDB-1999-KeimH #clustering #towards- Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering (AH, DAK), pp. 506–517.
SIGMOD-1998-BerchtoldBK #towards- The Pyramid-Technique: Towards Breaking the Curse of Dimensionality (SB, CB, HPK), pp. 142–153.
STOC-1998-IndykM #approximate #nearest neighbour #towards- Approximate Nearest Neighbors: Towards Removing the Curse of Dimensionality (PI, RM), pp. 604–613.
ICML-1997-KubatM #set- Addressing the Curse of Imbalanced Training Sets: One-Sided Selection (MK, SM), pp. 179–186.