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NECO
2011
13 years 2 months ago
Least-Squares Independent Component Analysis
Accurately evaluating statistical independence among random variables is a key element of Independent Component Analysis (ICA). In this paper, we employ a squared-loss variant of ...
Taiji Suzuki, Masashi Sugiyama
JMLR
2002
75views more  JMLR 2002»
13 years 7 months ago
Stability and Generalization
We define notions of stability for learning algorithms and show how to use these notions to derive generalization error bounds based on the empirical error and the leave-one-out e...
Olivier Bousquet, André Elisseeff
WOSP
2004
ACM
14 years 1 months ago
Expressing performance requirements using regular expressions to specify stochastic probes over process algebra models
This paper describes how soft performance bounds can be expressed for software systems using stochastic probes over stochastic process algebra models. These stochastic probes are ...
Ashok Argent-Katwala, Jeremy T. Bradley, Nicholas ...
ECCV
2004
Springer
14 years 10 months ago
Recovering Local Shape of a Mirror Surface from Reflection of a Regular Grid
Abstract. We present a new technique to recover the shape of an unknown smooth specular surface from a single image. A calibrated camera faces a specular surface reflecting a calib...
Silvio Savarese, Min Chen, Pietro Perona
BMCBI
2007
132views more  BMCBI 2007»
13 years 8 months ago
On the analysis of glycomics mass spectrometry data via the regularized area under the ROC curve
Background: Novel molecular and statistical methods are in rising demand for disease diagnosis and prognosis with the help of recent advanced biotechnology. High-resolution mass s...
Jingjing Ye, Hao Liu, Crystal Kirmiz, Carlito B. L...