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» Discriminative Analysis for Image-Based Studies
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MICCAI
2002
Springer
14 years 11 months ago
Discriminative Analysis for Image-Based Studies
Abstract. In this paper, we present a methodology for performing statistical analysis for image-based studies of differences between populations and describe our experience applyin...
Polina Golland, Bruce Fischl, Mona Spiridon, Nancy...
IPMI
2003
Springer
14 years 11 months ago
Permutation Tests for Classification: Towards Statistical Significance in Image-Based Studies
Abstract. Estimating statistical significance of detected differences between two groups of medical scans is a challenging problem due to the high dimensionality of the data and th...
Polina Golland, Bruce Fischl
ICIP
2005
IEEE
15 years 16 days ago
Nonlinear dimensionality reduction for classification using kernel weighted subspace method
We study the use of kernel subspace methods that learn low-dimensional subspace representations for classification tasks. In particular, we propose a new method called kernel weigh...
Guang Dai, Dit-Yan Yeung
TKDE
2008
121views more  TKDE 2008»
13 years 10 months ago
Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study
Linear and kernel discriminant analyses are popular approaches for supervised dimensionality reduction. Uncorrelated and regularized discriminant analyses have been proposed to ove...
Shuiwang Ji, Jieping Ye
IVC
2007
111views more  IVC 2007»
13 years 10 months ago
Colour text segmentation in web images based on human perception
There is a significant need to extract and analyse the text in images on Web documents, for effective indexing, semantic analysis and even presentation by non-visual means (e.g....
Dimosthenis Karatzas, Apostolos Antonacopoulos