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104
Voted
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 1 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 1 months ago
Domain-constrained semi-supervised mining of tracking models in sensor networks
Accurate localization of mobile objects is a major research problem in sensor networks and an important data mining application. Specifically, the localization problem is to deter...
Rong Pan, Junhui Zhao, Vincent Wenchen Zheng, Jeff...
103
Voted
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
16 years 1 months ago
Automatic multimedia cross-modal correlation discovery
Given an image (or video clip, or audio song), how do we automatically assign keywords to it? The general problem is to find correlations across the media in a collection of multi...
Jia-Yu Pan, Hyung-Jeong Yang, Christos Faloutsos, ...
POPL
2007
ACM
16 years 1 months ago
Generative unbinding of names
This paper is concerned with a programming language construct for typed name binding that enforces -equivalence. It proves a new result about what operations on names can co-exist...
Andrew M. Pitts, Mark R. Shinwell
POPL
2006
ACM
16 years 1 months ago
Harmless advice
This paper defines an object-oriented language with harmless aspect-oriented advice. A piece of harmless advice is a computation that, like ordinary aspect-oriented advice, execut...
Daniel S. Dantas, David Walker