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102
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ICASSP
2011
IEEE
14 years 4 months ago
Classifying soundtracks with audio texture features
Sound textures may be defined as sounds whose character depends on statistical properties as much as the specific details of each individually-perceived event. Recent work has d...
Daniel P. W. Ellis, Xiaohong Zeng, Josh H. McDermo...
111
Voted
ICTAI
2009
IEEE
15 years 7 months ago
Preventing Unwanted Social Inferences with Classification Tree Analysis
A serious threat to user privacy in new mobile and web2.0 applications stems from ‘social inferences’. These unwanted inferences are related to the users’ identity, current ...
Sara Motahari, Sotirios G. Ziavras, Quentin Jones
79
Voted
CORR
2008
Springer
98views Education» more  CORR 2008»
15 years 21 days ago
An Information-Theoretical View of Network-Aware Malware Attacks
This work investigates three aspects: (a) a network vulnerability as the non-uniform vulnerable-host distribution, (b) threats, i.e., intelligent malwares that exploit such a vulne...
Zesheng Chen, Chuanyi Ji
109
Voted
ISAAC
2009
Springer
175views Algorithms» more  ISAAC 2009»
15 years 7 months ago
Worst-Case and Smoothed Analysis of k-Means Clustering with Bregman Divergences
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
Bodo Manthey, Heiko Röglin
NIPS
2008
15 years 2 months ago
On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization
This work characterizes the generalization ability of algorithms whose predictions are linear in the input vector. To this end, we provide sharp bounds for Rademacher and Gaussian...
Sham M. Kakade, Karthik Sridharan, Ambuj Tewari