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SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
15 years 1 months ago
Semantic Smoothing for Bayesian Text Classification with Small Training Data
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
EKAW
2010
Springer
14 years 10 months ago
How Much Semantic Data on Small Devices?
Abstract. Semantic tools such as triple stores, reasoners and query engines tend to be designed for large-scale applications. However, with the rise of sensor networks, smart-phone...
Mathieu d'Aquin, Andriy Nikolov, Enrico Motta
ICMCS
2006
IEEE
94views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Semantic Labeling of Multimedia Content Clusters
In this paper we present a novel approach for labeling clusters of multimedia content that leverages supervised classification techniques in conjunction with unsupervised cluster...
Jelena Tesic, John R. Smith
HUC
2009
Springer
15 years 4 months ago
Discovering semantically meaningful places from pervasive RF-beacons
Detecting visits to semantically meaningful places is important for many emerging mobile applications. We present PlaceSense, a place discovery algorithm suitable for mobile devic...
Donnie H. Kim, Jeffrey Hightower, Ramesh Govindan,...
VLDB
1991
ACM
111views Database» more  VLDB 1991»
15 years 3 months ago
The Power of Methods With Parallel Semantics
A model capturing the data manipulation capabilities of a large class of methods in ohjectoriented databases is proposed and investsigated. The model uses a deterministic, paralle...
Karl Denninghoff, Victor Vianu