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» On Comparing Two Scenarios for Probabilistic Image Modelling
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MICCAI
2006
Springer
14 years 9 months ago
Improving Segmentation of the Left Ventricle Using a Two-Component Statistical Model
Abstract. Quality of segmentations obtained by 3D Active Appearance Models (AAMs) crucially depends on underlying training data. MRI heart data, however, often come noisy, incomple...
Jirí Hladuvka, Katja Bühler, Sebastian...
KDD
2004
ACM
136views Data Mining» more  KDD 2004»
14 years 8 months ago
A cross-collection mixture model for comparative text mining
In this paper, we define and study a novel text mining problem, which we refer to as Comparative Text Mining (CTM). Given a set of comparable text collections, the task of compara...
ChengXiang Zhai, Atulya Velivelli, Bei Yu
FLAIRS
2006
13 years 9 months ago
Model Construction Algorithms for Object-Oriented Probabilistic Relational Models
This paper presents three new algorithms for the automatic construction of models from Object Oriented Probabilistic RelationalModels. The first two algorithms are based on the kn...
Catherine Howard, Markus Stumptner
WECWIS
2005
IEEE
128views ECommerce» more  WECWIS 2005»
14 years 2 months ago
Comparison of Two Distinctive Model Driven Web Service Orchestration Proposals
The concept of MDA (model driven architecture) aims at the goal of longevity (through business logic and architecture migration between different platforms) and quality improvemen...
Konrad Pfadenhauer, Burkhard Kittl, Schahram Dustd...
CVPR
2007
IEEE
14 years 10 months ago
Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
Omer Rotem, Hayit Greenspan, Jacob Goldberger