Titlebook: Image Analysis and Processing -- ICIAP 2011; 16th International C Giuseppe Maino,Gian Luca Foresti Conference proceedings 2011 Springer-Ver

languid

A Classification Approach with a Reject Option for Multi-label Problemsimising classification accuracy on non-rejected ones. We finally evaluate the trade-off between classification accuracy and rejection rate that can be attained by our method, on three benchmark data sets related to text categorisation and image annotation tasks.

空洞

Improving Image Categorization by Using Multiple Instance Learning with Spatial Relationlearning. We select a subset of sub-windows per positive bag to avoid those limitations. Spatial relations between sub-windows are used as clues for selection. Experimental results demonstrate that our approach outperforms previous discriminative MIL approaches and standard categorization approaches.

迅速成長

含鐵

冷峻

Selection of Suspicious ROIs in Breast DCE-MRIst mask segmentation via intensity threshold estimation; (ii) morphological operations for hole-filling and leakage removal; (iii) suspicious ROIs extraction. The proposed approach has been evaluated, using adequate metrics, with respect to manual ROI selection performed, on ten patients, by an expert radiologist.

Acetabulum

Adaptive Model for Object Detection in Noisy and Fast-Varying Environmenthe proposed method was tested on a dataset coming from a real surveillance system including different sensors installed on board a moving train. The experimental results show that the proposed algorithm is robust in the real complex scenarios.

ABYSS

Genteel

河流

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