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KDD
1999
ACM
199views Data Mining» more  KDD 1999»
15 years 11 months ago
The Application of AdaBoost for Distributed, Scalable and On-Line Learning
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
Wei Fan, Salvatore J. Stolfo, Junxin Zhang
CVPR
2008
IEEE
16 years 8 months ago
Probabilistic image registration and anomaly detection by nonlinear warping
Automatic, defect tolerant registration of transmission electron microscopy (TEM) images poses an important and challenging problem for biomedical image analysis, e.g. in computat...
Verena Kaynig, Bernd Fischer, Joachim M. Buhmann
165
Voted
ICCV
2001
IEEE
16 years 8 months ago
Image Segmentation with Minimum Mean Cut
We introduce a new graph-theoretic approach to image segmentation based on minimizing a novel class of `mean cut' cost functions. Minimizing these cost functions corresponds ...
Song Wang, Jeffrey Mark Siskind
CHI
2009
ACM
16 years 7 months ago
Fly: a tool to author planar presentations
Modern presentation software is still built around interaction metaphors adapted from traditional slide projectors. We provide an analysis of the problems in this application genr...
Leonhard Lichtschlag, Thorsten Karrer, Jan O. Borc...
KDD
2009
ACM
183views Data Mining» more  KDD 2009»
16 years 7 months ago
OLAP on search logs: an infrastructure supporting data-driven applications in search engines
Search logs, which contain rich and up-to-date information about users' needs and preferences, have become a critical data source for search engines. Recently, more and more ...
Bin Zhou 0002, Daxin Jiang, Jian Pei, Hang Li