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IJCV
2007
196views more  IJCV 2007»
14 years 9 months ago
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
Robert Fergus, Pietro Perona, Andrew Zisserman
VISUAL
2000
Springer
15 years 1 months ago
Shape Description for Content-Based Image Retrieval
Abstract. The present work is focused on a global image characterization based on a description of the 2D displacements of the different shapes present in the image, which can be e...
Edoardo Ardizzone, Antonio Chella, Roberto Pirrone
MVA
1998
162views Computer Vision» more  MVA 1998»
14 years 9 months ago
Multipass hierarchical stereo matching for generation of digital terrain models from aerial images
Abstract. This paper presents a new multi-pass hierarchical stereo-matching approach for generation of digital terrain models (DTMs) from two overlapping aerial images. Our method ...
Yi-Ping Hung, Chu-Song Chen, Kuan-Chung Hung, Yong...
ICPR
2006
IEEE
15 years 11 months ago
Shape-based Discrimination and Classification of Cortical Surfaces
Advances in medical imaging technique make it possible to study shape variations of neuroanatomical structures in vivo, which has been proved useful in the study of neuropathology...
Arthur K. Liu, Bruce Fischl, Florent Ségonn...
IDEAL
2005
Springer
15 years 3 months ago
Evolving Neural Networks for the Classification of Malignancy Associated Changes
Malignancy Associated Changes are subtle changes to the nuclear texture of visually normal cells in the vicinity of a cancerous or precancerous lesion. We describe a classifier for...
Jennifer Hallinan