14 papers:
ICML-c2-2014-HarelMEC #concept #detection- Concept Drift Detection Through Resampling (MH, SM, REY, KC), pp. 1009–1017.
DRR-2013-Nagy #documentation #fault #image #preprocessor- Preprocessing document images by resampling is error prone and unnecessary (GN).
MLDM-2011-SanchezGM #classification #reduction #tool support- Exploring Synergetic Effects of Dimensionality Reduction and Resampling Tools on Hyperspectral Imagery Data Classification (JSS, VG, RAM), pp. 511–523.
ICPR-2010-VenkateshKM #3d #approach #recognition #using- Resampling Approach to Facial Expression Recognition Using 3D Meshes (YVV, AAK, OVRM), pp. 3772–3775.
MLDM-2009-QureshiZ #quality #using- Using Resampling Techniques for Better Quality Discretization (TQ, DAZ), pp. 68–81.
SIGIR-2008-LeeCA #clustering #feedback #pseudo- A cluster-based resampling method for pseudo-relevance feedback (KSL, WBC, JA), pp. 235–242.
ICPR-v1-2006-IvaldiMG #framework #hybrid- A hybrid resampling framework for facial shape alignment (WI, MM, SG), pp. 488–491.
ICPR-v1-2006-MollerR #approach #clustering #nearest neighbour- A Cluster Validity Approach based on Nearest-Neighbor Resampling (UM, DR), pp. 892–895.
ICPR-v3-2004-ChenCG #adaptation #algorithm #detection #search-based #self- Resampling for Face Detection by Self-Adaptive Genetic Algorithm (JC, XC, WG), pp. 822–825.
ICPR-v2-2002-LiZ #algorithm #visual notation- Visual Contour Tracking Based on Sequential Importance Sampling/Resampling Algorithm (PL, TZ), pp. 564–568.
KDD-2000-IyengarAZ #adaptation #learning #using- Active learning using adaptive resampling (VSI, CA, TZ), pp. 91–98.
ICPR-1998-HuberM #adaptation #named #parallel #set- ERC — evolutionary resample and combine for adaptive parallel training data set selection (RH, HAM), pp. 882–885.
KDD-1995-TsumotoT #automation #induction #multi #recursion #statistics #testing- Automated Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Statistical Testing (ST, HT), pp. 312–317.
KDD-1994-TsumotoT #estimation #probability #recursion- Selection of Probabilistic Measure Estimation Method Based on Recursive Iteration of Resampling Methods (ST, HT), pp. 121–132.