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» Boosting in the presence of noise
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TASLP
2008
100views more  TASLP 2008»
13 years 8 months ago
Noise Tracking Using DFT Domain Subspace Decompositions
All discrete Fourier transform (DFT) domain-based speech enhancement gain functions rely on knowledge of the noise power spectral density (PSD). Since the noise PSD is unknown in a...
Richard C. Hendriks, Jesper Jensen, Richard Heusde...
ISAAC
2005
Springer
111views Algorithms» more  ISAAC 2005»
14 years 2 months ago
Boosting Spectral Partitioning by Sampling and Iteration
A partition of a set of n items is a grouping of the items into k disjoint classes of equal size. Any partition can be modeled as a graph: the items become the vertices of the grap...
Joachim Giesen, Dieter Mitsche
MDM
2009
Springer
269views Communications» more  MDM 2009»
14 years 3 months ago
R-U-In? - Exploiting Rich Presence and Converged Communications for Next-Generation Activity-Oriented Social Networking
—With the growing popularity of social networking, traditional Internet Service Providers (ISPs) and Telecom operators have both started exploring new opportunities to boost thei...
Nilanjan Banerjee, Dipanjan Chakraborty, Koustuv D...
AAAI
2011
12 years 8 months ago
Logistic Methods for Resource Selection Functions and Presence-Only Species Distribution Models
In order to better protect and conserve biodiversity, ecologists use machine learning and statistics to understand how species respond to their environment and to predict how they...
Steven Phillips, Jane Elith
PAMI
2011
13 years 3 months ago
Semi-Supervised Learning via Regularized Boosting Working on Multiple Semi-Supervised Assumptions
—Semi-supervised learning concerns the problem of learning in the presence of labeled and unlabeled data. Several boosting algorithms have been extended to semi-supervised learni...
Ke Chen, Shihai Wang