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» An Efficient Algorithm for Local Distance Metric Learning
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ISBI
2008
IEEE
15 years 10 months ago
Medial-based Bayesian tracking for vascular segmentation: Application to coronary arteries in 3D CT angiography
We propose a new Bayesian, stochastic tracking algorithm for the segmentation of blood vessels from 3D medical image data. Inspired by the recent developments in particle filterin...
David Lesage, Elsa D. Angelini, Isabelle Bloch, Ga...
ICDM
2007
IEEE
162views Data Mining» more  ICDM 2007»
15 years 1 months ago
Exploiting Network Structure for Active Inference in Collective Classification
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
Matthew J. Rattigan, Marc Maier, David Jensen, Bin...
CPAIOR
2006
Springer
14 years 11 months ago
Conflict-Directed A* Search for Soft Constraints
As many real-world problems involve user preferences, costs, or probabilities, constraint satisfaction has been extended to optimization by generalizing hard constraints to soft co...
Martin Sachenbacher, Brian C. Williams
KDD
2007
ACM
170views Data Mining» more  KDD 2007»
15 years 10 months ago
From frequent itemsets to semantically meaningful visual patterns
Data mining techniques that are successful in transaction and text data may not be simply applied to image data that contain high-dimensional features and have spatial structures....
Junsong Yuan, Ying Wu, Ming Yang
CVPR
2010
IEEE
15 years 5 months ago
Chaotic Invariants of Lagrangian Particle Trajectories for Anomaly Detection in Crowded Scenes
A novel method for crowd flow modeling and anomaly detection is proposed for both coherent and incoherent scenes. The novelty is revealed in three aspects. First, it is a unique ut...
Shandong Wu, Brian E. Moore, and Mubarak Shah