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PAMI
2006
185views more  PAMI 2006»
15 years 6 months ago
Generic Object Recognition with Boosting
This paper explores the power and the limitations of weakly supervised categorization. We present a complete framework that starts with the extraction of various local regions of e...
Andreas Opelt, Axel Pinz, Michael Fussenegger, Pet...
190
Voted
INFFUS
2007
117views more  INFFUS 2007»
15 years 6 months ago
Pixel-based and region-based image fusion schemes using ICA bases
The task of enhancing the perception of a scene by combining information captured by different sensors is usually known as image fusion. The pyramid decomposition and the Dual-Tr...
Nikolaos Mitianoudis, Tania Stathaki
178
Voted
TIFS
2008
113views more  TIFS 2008»
15 years 6 months ago
A Selective Feature Information Approach for Iris Image-Quality Measure
Poor quality images can significantly affect the accuracy of iris-recognition systems because they do not have enough feature information. However, existing quality measures have f...
Craig Belcher, Yingzi Du
TIP
2008
125views more  TIP 2008»
15 years 6 months ago
Segmentation by Fusion of Histogram-Based K-Means Clusters in Different Color Spaces
Abstract--This paper presents a new, simple, and efficient segmentation approach, based on a fusion procedure which aims at combining several segmentation maps associated to simple...
Max Mignotte
CG
2005
Springer
15 years 6 months ago
An image-based, trainable symbol recognizer for hand-drawn sketches
We describe a trainable, hand-drawn symbol recognizer based on a multi-layer recognition scheme. Symbols are internally represented as binary templates. An ensemble of four differ...
Levent Burak Kara, Thomas F. Stahovich