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GLOBECOM
2009
IEEE
15 years 7 months ago
Super-Gaussian Loading for Robust Beamforming
— It is well known that the performance of adaptive beamformers may degrade in the presence of steering errors. In this context, diagonal loading is one of the most popular metho...
Jing Gu, Patrick J. Wolfe
ICPR
2010
IEEE
15 years 6 months ago
Fast Training of Object Detection Using Stochastic Gradient Descent
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
Rob Wijnhoven, Peter H. N. De With
FMCAD
2008
Springer
15 years 5 months ago
Going with the Flow: Parameterized Verification Using Message Flows
A message flow is a sequence of messages sent among processors during the execution of a protocol, usually illustrated with something like a message sequence chart. Protocol design...
Murali Talupur, Mark R. Tuttle
NIPS
2007
15 years 5 months ago
Boosting Algorithms for Maximizing the Soft Margin
We present a novel boosting algorithm, called SoftBoost, designed for sets of binary labeled examples that are not necessarily separable by convex combinations of base hypotheses....
Manfred K. Warmuth, Karen A. Glocer, Gunnar Rä...
ICVGIP
2004
15 years 5 months ago
A Robust Nonparametric Estimation Framework for Implicit Image Models
Robust model fitting is important for computer vision tasks due to the occurrence of multiple model instances, and, unknown nature of noise. The linear errors-in-variables (EIV) m...
Himanshu Arora, Maneesh Singh, Narendra Ahuja