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ML
2002
ACM
220views Machine Learning» more  ML 2002»
14 years 9 months ago
Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
Peter Sollich
SPEECH
2010
136views more  SPEECH 2010»
14 years 8 months ago
Robust speech recognition by integrating speech separation and hypothesis testing
Missing data methods attempt to improve robust speech recognition by distinguishing between reliable and unreliable data in the time-frequency domain. Such methods require a binar...
Soundararajan Srinivasan, DeLiang L. Wang
ICPADS
2010
IEEE
14 years 8 months ago
Bandwidth- and Latency-Aware Peer-to-Peer Instant Friendcast for Online Social Networks
Online Social Networks (OSNs) are more and more popular recently; people may through them interact with each other for the purpose of social intercourse. The client/server OSN arch...
Jehn-Ruey Jiang, Chao-Wei Hung, Jih-Wei Wu
ICCV
2009
IEEE
14 years 7 months ago
SCRAMSAC: Improving RANSAC's efficiency with a spatial consistency filter
Geometric verification with RANSAC has become a crucial step for many local feature based matching applications. Therefore, the details of its implementation are directly relevant...
Torsten Sattler, Bastian Leibe, Leif Kobbelt
TSMC
2011
240views more  TSMC 2011»
14 years 5 months ago
Modeling Competition in the Telecommunications Market Based on Concepts of Population Biology
—Based on concepts of ecology modeling and specifi-4 cally on population biology, a methodology for describing a high-5 technology market’s dynamics is developed and presented...
Christos Michalakelis, Thomas Sphicopoulos, Dimitr...