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CVPR
2009
IEEE
17 years 1 months ago
Unsupervised Learning of Hierarchical Spatial Structures In Images
The visual world demonstrates organized spatial patterns, among objects or regions in a scene, object-parts in an object, and low-level features in object-parts. These classes o...
Devi Parikh (Carnegie Mellon University), C. Lawre...
ICCV
2005
IEEE
16 years 8 months ago
A Generative/Discriminative Learning Algorithm for Image Classification
We have developed a two-phase generative / discriminative learning procedure for the recognition of classes of objects and concepts in outdoor scenes. Our method uses both multipl...
Yi Li, Linda G. Shapiro, Jeff A. Bilmes
ICDAR
2009
IEEE
16 years 1 months ago
Segmentation-free Word Spotting in Historical Printed Documents
In this paper, a new efficient word spotting methodology is presented that can be applied to historical printed documents without requiring any previous block or word segmentation...
Basilios Gatos, Ioannis Pratikakis
BMVC
1997
15 years 8 months ago
Multi-Level Probabilistic Relaxation
We present a multi-level probabilistic relaxation scheme appropriate for image segmentation on the basis of features computed at various resolution levels. At each level, we incor...
Maria Petrou, Majid Mirmehdi, M. Coors
ACIVS
2009
Springer
15 years 11 months ago
Self-assessed Contrast-Maximizing Adaptive Region Growing
In the context of an experimental virtual-reality surgical planning software platform, we propose a fully self-assessed adaptive region growing segmentation algorithm. Our method s...
Carlos S. Mendoza, Begoña Acha, Carmen Serr...