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» Learning the Relative Importance of Features in Image Data
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160
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CVPR
2009
IEEE
1096views Computer Vision» more  CVPR 2009»
16 years 10 months ago
How far can you get with a modern face recognition test set using only simple features?
In recent years, large databases of natural images have become increasingly popular in the evaluation of face and object recognition algorithms. However, Pinto et al. previously ...
Nicolas Pinto, James J. DiCarlo, David D. Cox
125
Voted
ICCV
2007
IEEE
16 years 5 months ago
3D Variational Brain Tumor Segmentation using a High Dimensional Feature Set
Tumor segmentation from MRI data is an important but time consuming task performed manually by medical experts. Automating this process is challenging due to the high diversity in...
Albert Murtha, Dana Cobzas, Mark Schmidt, Martin J...
CACM
2010
161views more  CACM 2010»
15 years 1 months ago
Efficiently searching for similar images
As it becomes increasingly viable to capture, store, and share large amounts of image and video data, automatic image analysis is crucial to managing visual information. Many prob...
Kristen Grauman
141
Voted
ADL
1998
Springer
189views Digital Library» more  ADL 1998»
15 years 7 months ago
Semantic Relations in a Medical Digital Library
ct In this paper, we describe the VesaliusTM Project, a multi-modal collection of anatomical resourcesunder development at Columbia University. 1 Our focus is on the need for navig...
Nina Wacholder, Celina Imielinska, Judith Klavans,...
WSCG
2004
232views more  WSCG 2004»
15 years 5 months ago
Robust Tracking of Athletes Using Multiple Features of Multiple Views
This paper presents a robust and reconfigurable object tracker that integrates multiple visual features from multiple views. The tandem modular architecture stepwise refines the e...
Toshihiko Misu, Seiichi Gohshi, Yoshinori Izumi, Y...