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INFORMATICALT
2008
124views more  INFORMATICALT 2008»
13 years 7 months ago
Hierarchical Adaptive Clustering
This paper studies an adaptive clustering problem. We focus on re-clustering an object set, previously clustered, when the feature set characterizing the objects increases. We prop...
Gabriela Serban, Alina Campan
IBMSJ
1998
81views more  IBMSJ 1998»
13 years 7 months ago
T Spaces
Millions of small heterogeneous computers are poised to spread into the infrastructure of our society. Though mostly inconspicuous today, disguised as nothing more than PIM (perso...
Peter Wyckoff, Stephen W. McLaughry, Tobin J. Lehm...
KDD
2009
ACM
305views Data Mining» more  KDD 2009»
14 years 8 months ago
Grocery shopping recommendations based on basket-sensitive random walk
We describe a recommender system in the domain of grocery shopping. While recommender systems have been widely studied, this is mostly in relation to leisure products (e.g. movies...
Ming Li, M. Benjamin Dias, Ian H. Jarman, Wael El-...
VLDB
2005
ACM
140views Database» more  VLDB 2005»
14 years 1 months ago
Loadstar: Load Shedding in Data Stream Mining
In this demo, we show that intelligent load shedding is essential in achieving optimum results in mining data streams under various resource constraints. The Loadstar system intro...
Yun Chi, Haixun Wang, Philip S. Yu
CIVR
2010
Springer
246views Image Analysis» more  CIVR 2010»
13 years 5 months ago
Genre-specific semantic video indexing
In many applications, we find large video collections from different genres where the user is often only interested in one or two specific video genres. So, when users are queryin...
Jun Wu, Marcel Worring