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NIPS
2008
15 years 7 months ago
Multi-Level Active Prediction of Useful Image Annotations for Recognition
We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...
Sudheendra Vijayanarasimhan, Kristen Grauman
BILDMED
2009
162views Algorithms» more  BILDMED 2009»
15 years 6 months ago
Extracting a Purely Non-rigid Deformation Field of a Single Structure
During endovascular aortic repair (EVAR) treatment, the aortic shape is subject to severe deformation that is imposed by medical instruments such as guide wires, catheters, and the...
Stefanie Demirci, Frode Manstad-Hulaas, Nassir Nav...
ICASSP
2010
IEEE
15 years 6 months ago
Using n-best recognition output for extractive summarization and keyword extraction in meeting speech
There has been increasing interest recently in meeting understanding, such as summarization, browsing, action item detection, and topic segmentation. However, there is very limite...
Yang Liu, Shasha Xie, Fei Liu
IJON
2008
186views more  IJON 2008»
15 years 5 months ago
Computational analysis and learning for a biologically motivated model of boundary detection
In this work we address the problem of boundary detection by combining ideas and approaches from biological and computational vision. Initially, we propose a simple and efficient ...
Iasonas Kokkinos, Rachid Deriche, Olivier D. Fauge...
IJCV
2006
115views more  IJCV 2006»
15 years 5 months ago
Object Recognition as Many-to-Many Feature Matching
Object recognition can be formulated as matching image features to model features. When recognition is exemplar-based, feature correspondence is one-to-one. However, segmentation e...
M. Fatih Demirci, Ali Shokoufandeh, Yakov Keselman...