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» Results Merging Algorithm Using Multiple Regression Models
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TIP
2010
155views more  TIP 2010»
15 years 21 days ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He
MVA
2008
305views Computer Vision» more  MVA 2008»
15 years 2 months ago
A new graph cut-based multiple active contour algorithm without initial contours and seed points
This paper presents a new graph cut-based multiple active contour algorithm to detect optimal boundaries and regions in images without initial contours and seed points. The task of...
Jong-Sung Kim, Ki-Sang Hong
131
Voted
ICML
2005
IEEE
16 years 3 months ago
Bayesian hierarchical clustering
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...
Katherine A. Heller, Zoubin Ghahramani
SEAL
2010
Springer
15 years 6 days ago
Dominance-Based Pareto-Surrogate for Multi-Objective Optimization
Abstract. Mainstream surrogate approaches for multi-objective problems build one approximation for each objective. Mono-surrogate approaches instead aim at characterizing the Paret...
Ilya Loshchilov, Marc Schoenauer, Michèle S...
124
Voted
ICIP
2008
IEEE
15 years 8 months ago
A fast level set algorithm for shape-based segmentation with multiple selective priors
This paper addresses the shape-based segmentation problem using level sets. In particular, we propose a fast algorithm to solve the piece-wise constant Chan-Vese segmentation mode...
Rachid Fahmi, Aly A. Farag