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KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 7 days ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
KDD
2002
ACM
109views Data Mining» more  KDD 2002»
16 years 6 days ago
Topics in 0--1 data
Large 0-1 datasets arise in various applications, such as market basket analysis and information retrieval. We concentrate on the study of topic models, aiming at results which in...
Ella Bingham, Heikki Mannila, Jouni K. Seppän...
CHI
2004
ACM
16 years 5 days ago
Z-Tiles: building blocks for modular, pressure-sensing floorspaces
A new interactive floorspace has been developed which uses modular nodes connected together to create a pressuresensitive area of varying size and shape, giving it the potential t...
Bruce Richardson, Joseph A. Paradiso, Krispin Leyd...
POPL
2004
ACM
16 years 4 days ago
A logic you can count on
We prove the decidability of the quantifier-free, static fragment of ambient logic, with composition adjunct and iteration, which corresponds to a kind of regular expression langu...
Silvano Dal-Zilio, Denis Lugiez, Charles Meyssonni...
ICFP
2007
ACM
15 years 11 months ago
A generic usage analysis with subeffect qualifiers
Sharing analysis and uniqueness typing are static analyses that aim at determining which of a program's objects are to be used at most once. There are many commonalities betw...
Jurriaan Hage, Stefan Holdermans, Arie Middelkoop