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JMLR
2011
148views more  JMLR 2011»
14 years 10 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara
TASLP
2011
14 years 10 months ago
Time-Frequency Cepstral Features and Heteroscedastic Linear Discriminant Analysis for Language Recognition
Abstract—The shifted delta cepstrum (SDC) is a widely used feature extraction for language recognition (LRE). With a high context width due to incorporation of multiple frames, S...
Weiqiang Zhang, Liang He, Yan Deng, Jia Liu, M. T....
146
Voted
ACSAC
2010
IEEE
14 years 7 months ago
Friends of an enemy: identifying local members of peer-to-peer botnets using mutual contacts
In this work we show that once a single peer-to-peer (P2P) bot is detected in a network, it may be possible to efficiently identify other members of the same botnet in the same ne...
Baris Coskun, Sven Dietrich, Nasir D. Memon
184
Voted
BMCBI
2011
14 years 7 months ago
To aggregate or not to aggregate high-dimensional classifiers
Background: High-throughput functional genomics technologies generate large amount of data with hundreds or thousands of measurements per sample. The number of sample is usually m...
Cheng-Jian Xu, Huub C. J. Hoefsloot, Age K. Smilde
143
Voted
TON
2012
13 years 5 months ago
Taming the Mobile Data Deluge With Drop Zones
—Human communication has changed by the advent of smartphones. Using commonplace mobile device features they started uploading large amounts of content that increases. This incre...
Ionut Trestian, Supranamaya Ranjan, Aleksandar Kuz...
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