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MICCAI
2007
Springer
16 years 6 months ago
De-enhancing the Dynamic Contrast-Enhanced Breast MRI for Robust Registration
Abstract. Dynamic enhancement causes serious problems for registration of contrast enhanced breast MRI, due to variable uptakes of agent on different tissues or even same tissues i...
Yuanjie Zheng, Jingyi Yu, Chandra Kambhamettu, Sar...
MICCAI
2007
Springer
16 years 6 months ago
Non-rigid Image Registration Using Graph-cuts
Non-rigid image registration is an ill-posed yet challenging problem due to its supernormal high degree of freedoms and inherent requirement of smoothness. Graph-cuts method is a p...
Tommy W. H. Tang, Albert C. S. Chung
ICML
2007
IEEE
16 years 6 months ago
Robust non-linear dimensionality reduction using successive 1-dimensional Laplacian Eigenmaps
Non-linear dimensionality reduction of noisy data is a challenging problem encountered in a variety of data analysis applications. Recent results in the literature show that spect...
Samuel Gerber, Tolga Tasdizen, Ross T. Whitaker
ICML
2006
IEEE
16 years 6 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
153
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ICML
2004
IEEE
16 years 6 months ago
Lookahead-based algorithms for anytime induction of decision trees
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
Saher Esmeir, Shaul Markovitch