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ICML
2007
IEEE
16 years 15 days ago
Asymptotic Bayesian generalization error when training and test distributions are different
In supervised learning, we commonly assume that training and test data are sampled from the same distribution. However, this assumption can be violated in practice and then standa...
Keisuke Yamazaki, Klaus-Robert Müller, Masash...
ICCV
2007
IEEE
16 years 1 months ago
An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples
In this paper we present an empirical study of object category recognition using generalized samples and a set of sequential tests. We study 33 categories, each consisting of a sm...
Liang Lin, Shaowu Peng, Jake Porway, Song Chun Zhu...
STOC
2002
ACM
81views Algorithms» more  STOC 2002»
15 years 12 months ago
Monotonicity testing over general poset domains
Eldar Fischer, Eric Lehman, Ilan Newman, Sofya Ras...
GLOBECOM
2008
IEEE
15 years 6 months ago
Non-Coherent Amplify-and-Forward Generalized Likelihood Ratio Test Receiver
Abstract—This paper proposes a simple non-coherent amplifyand-forward receiver for the relay channel and evaluates its diversity performance for Rayleigh fading channels. We use ...
Michael R. Souryal
ECCC
2010
87views more  ECCC 2010»
14 years 9 months ago
Testing monotonicity of distributions over general partial orders
We investigate the number of samples required for testing the monotonicity of a distribution with respect to an arbitrary underlying partially ordered set. Our first result is a n...
Arnab Bhattacharyya, Eldar Fischer, Ronitt Rubinfe...