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» Meta-Evaluation of Image Segmentation Using Machine Learning
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157
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CVPR
2009
IEEE
16 years 9 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...
146
Voted
TMI
2002
248views more  TMI 2002»
15 years 1 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
132
Voted
CVPR
2010
IEEE
15 years 7 months ago
Many-to-one Contour Matching for Describing and Discriminating Object Shape
We present an object recognition system that locates an object, identifies its parts, and segments out its contours. A key distinction of our approach is that we use long, salien...
Praveen Srinivasan, Qihui Zhu, Jianbo Shi
119
Voted
HCI
2009
14 years 12 months ago
Did I Get It Right: Head Gestures Analysis for Human-Machine Interactions
This paper presents a system for another input modality in a multimodal human-machine interaction scenario. In addition to other common input modalities, e.g. speech, we extract he...
Jürgen Gast, Alexander Bannat, Tobias Rehrl, ...
136
Voted
MMM
2008
Springer
156views Multimedia» more  MMM 2008»
15 years 8 months ago
Cross-Lingual Retrieval of Identical News Events by Near-Duplicate Video Segment Detection
Recently, for reusing large quantities of accumulated news video, technology for news topic searching and tracking has become necessary. Moreover, since we need to understand a cer...
Akira Ogawa, Tomokazu Takahashi, Ichiro Ide, Hiros...