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» Constructing Common Information Spaces
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105
Voted
PAKDD
2009
ACM
186views Data Mining» more  PAKDD 2009»
15 years 7 months ago
Pairwise Constrained Clustering for Sparse and High Dimensional Feature Spaces
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
Su Yan, Hai Wang, Dongwon Lee, C. Lee Giles
103
Voted
WWW
2009
ACM
16 years 1 months ago
Constructing folksonomies from user-specified relations on flickr
Automatic folksonomy construction from tags has attracted much attention recently. However, inferring hierarchical relations between concepts from tags has a drawback in that it i...
Anon Plangprasopchok, Kristina Lerman
SAC
2005
ACM
15 years 6 months ago
Towards system software for physical space applications
In ubiquitous computing era, the notion of context-awareness will play an important role. An application should be aware of its operating context for supporting and enriching huma...
Kaori Fujinami, Tatsuo Nakajima
ECCC
2006
120views more  ECCC 2006»
15 years 20 days ago
New Locally Decodable Codes and Private Information Retrieval Schemes
A q query Locally Decodable Code (LDC) encodes an n-bit message x as an N-bit codeword C(x), such that one can probabilistically recover any bit xi of the message by querying only...
Sergey Yekhanin
104
Voted
CHI
2009
ACM
16 years 1 months ago
Multi-user interaction in virtual audio spaces
Audio guides are a common way to provide museum visitors with an opportunity for personalized, self-paced information retrieval. However, this personalization conflicts with some ...
Florian Heller, Thomas Knott, Malte Weiss, Jan Bor...