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» Detect Digital Image Splicing with Visual Cues
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IDEAL
2005
Springer
13 years 11 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
MVA
1990
162views Computer Vision» more  MVA 1990»
13 years 7 months ago
Map-Driven Image Interpretation by Associative Model Indexing
d at a high abstraction level, and consists in an expectation-driven search starting from symbolic object descriptions and using a version of a distributed blackboard system for re...
Gian Luca Foresti, Vittorio Murino, Carlo S. Regaz...
ETVC
2008
13 years 7 months ago
Abstracts of the LIX Fall Colloquium 2008: Emerging Trends in Visual Computing
s of the LIX Fall Colloquium 2008: Emerging Trends in Visual Computing Frank Nielsen Ecole Polytechnique, Palaiseau, France Sony CSL, Tokyo, Japan Abstract. We list the abstracts o...
Frank Nielsen
JCB
2006
107views more  JCB 2006»
13 years 5 months ago
Protein Image Alignment via Piecewise Affine Transformations
Abstract We present a new approach for aligning families of 2D gels. Instead of choosing one of the gels as reference and performing pairwise alignment, we construct an ideal gel t...
Florian A. Potra, Xing Liu, Françoise Seill...
PAMI
2010
205views more  PAMI 2010»
13 years 4 months ago
Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
Long Zhu, Yuanhao Chen, Alan L. Yuille