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» Building Shape Models from Lousy Data
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ECCV
2002
Springer
15 years 11 months ago
Learning Shape from Defocus
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
Paolo Favaro, Stefano Soatto
CSIE
2009
IEEE
15 years 4 months ago
Building a General Purpose Cross-Domain Sentiment Mining Model
Building a model using machine learning that can classify the sentiment of natural language text often requires an extensive set of labeled training data from the same domain as t...
Matthew Whitehead, Larry Yaeger
68
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ICPR
2004
IEEE
15 years 10 months ago
Building and Registering Parameterized 3D Models of Vessel Trees for Visualization during Intervention
In this paper we address the problem of multimodal registration of coronary vessels by developing a 3D parametrical model of vessel trees from computer tomography data and registe...
Georg Langs, Petia Radeva, David Rotger, Francesc ...
COMPGEOM
2011
ACM
14 years 1 months ago
Metric graph reconstruction from noisy data
Many real-world data sets can be viewed of as noisy samples of special types of metric spaces called metric graphs [16]. Building on the notions of correspondence and GromovHausdo...
Mridul Aanjaneya, Frédéric Chazal, D...
ICWS
2004
IEEE
14 years 11 months ago
Building Desktop Applications with Web Services in a Message-based MVC Paradigm
Over the past decade, classic client side applications with Model-View-Controller (MVC) architecture haven't changed much but become more complex. In this paper, we present a...
Xiaohong Qiu