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ICASSP
2011
IEEE
14 years 10 months ago
Modeling anatomical heterogeneity in populations
Our goal is to model anatomical variability across individuals, which presents substantial challenges in clinical population studies and in building atlases for segmentation. Base...
Polina Golland, Mert R. Sabuncu
DEXA
2011
Springer
263views Database» more  DEXA 2011»
14 years 6 months ago
Sampling the National Deep Web
A huge portion of today’s Web consists of web pages filled with information from myriads of online databases. This part of the Web, known as the deep Web, is to date relatively ...
Denis Shestakov
170
Voted
ACL
2012
13 years 9 months ago
Learning Syntactic Verb Frames using Graphical Models
We present a novel approach for building verb subcategorization lexicons using a simple graphical model. In contrast to previous methods, we show how the model can be trained with...
Thomas Lippincott, Anna Korhonen, Diarmuid Ó...
ICCV
2007
IEEE
16 years 8 months ago
Locally Smooth Metric Learning with Application to Image Retrieval
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...
Dit-Yan Yeung, Hong Chang
MICCAI
2008
Springer
16 years 7 months ago
Physical-Space Refraction-Corrected Transmission Ultrasound Computed Tomography Made Computationally Practical
Abstract. Transmission Ultrasound Computed Tomography (CT) is strongly affected by the acoustic refraction properties of the imaged tissue, and proper modeling and correction of th...
Shengying Li, Klaus Mueller, Marcel Jackowski, ...