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» Toward Objective Evaluation of Image Segmentation Algorithms
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Book
5396views
16 years 11 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
125
Voted
CVPR
2009
IEEE
16 years 6 months ago
Tracking of Cell Populations to Understand their Spatio-Temporal Behavior in Response to Physical Stimuli
We have developed methods for segmentation and tracking of cells in time-lapse phase-contrast microscopy images. Our multi-object Bayesian algorithm detects and tracks large num...
David House, Matthew Walker, Zheng Wu, Joyce Wong,...
SDM
2008
SIAM
140views Data Mining» more  SDM 2008»
15 years 1 months ago
Creating a Cluster Hierarchy under Constraints of a Partially Known Hierarchy
Although clustering under constraints is a current research topic, a hierarchical setting, in which a hierarchy of clusters is the goal, is usually not considered. This paper trie...
Korinna Bade, Andreas Nürnberger
VISUALIZATION
2000
IEEE
15 years 4 months ago
Extracting regions of interest applying a local watershed transformation
In this paper, we present a new technique for extracting regions of interest (ROI) applying a local watershed transformation. The proposed strategy for computing catchment basins ...
Stanislav L. Stoev, Wolfgang Straßer
154
Voted
CVPR
2009
IEEE
16 years 7 months ago
Constrained Clustering via Spectral Regularization
We propose a novel framework for constrained spectral clustering with pairwise constraints which specify whether two objects belong to the same cluster or not. Unlike previous m...
Zhenguo Li (The Chinese University of Hong Kong), ...