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ICML
2008
IEEE
16 years 4 months ago
Boosting with incomplete information
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
Feng Jiao, Gholamreza Haffari, Greg Mori, Shaojun ...
ICML
2006
IEEE
16 years 4 months ago
Bayesian regression with input noise for high dimensional data
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
ICML
2003
IEEE
16 years 4 months ago
Unsupervised Learning with Permuted Data
We consider the problem of unsupervised learning from a matrix of data vectors where in each row the observed values are randomly permuted in an unknown fashion. Such problems ari...
Sergey Kirshner, Sridevi Parise, Padhraic Smyth
ISBI
2004
IEEE
16 years 4 months ago
Trilateral Filtering for Biomedical Images
Filtering is a core operation in low level computer vision. It is a preliminary process in many biomedical image processing applications. Bilateral filtering has been applied to s...
Wilbur C. K. Wong, Albert C. S. Chung, Simon C. H....
ISBI
2006
IEEE
16 years 4 months ago
Towards automated bioimage analysis: from features to semantics
Recent advances in bio-molecular imaging have afforded biologists a more thorough understanding of cellular functions in complex tissue structures. For example, high resolution fl...
B. S. Manjunath, Baris Sumengen, Zhiqiang Bi, Jiyu...
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