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AIRS
2006
Springer
15 years 1 months ago
A Semantic Fusion Approach Between Medical Images and Reports Using UMLS
One of the main challenges in content-based image retrieval still remains to bridge the gap between low-level features and semantic information. In this paper, we present our first...
Daniel Racoceanu, Caroline Lacoste, Roxana Teodore...
CVPR
1998
IEEE
15 years 11 months ago
Markov Random Fields with Efficient Approximations
Markov Random Fields (MRF's) can be used for a wide variety of vision problems. In this paper we focus on MRF's with two-valued clique potentials, which form a generaliz...
Yuri Boykov, Olga Veksler, Ramin Zabih
ICIP
2007
IEEE
15 years 4 months ago
Using Dempster-Shafer Theory to Fuse Multiple Information Sources in Region-Based Segmentation
This paper presents a new method for segmentation of images into large regions that reflect the real world objects present in a scene. It explores the feasibility of utilizing sp...
Tomasz Adamek, Noel E. O'Connor
PAMI
2012
13 years 6 days ago
CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
—We present a novel framework to generate and rank plausible hypotheses for the spatial extent of objects in images using bottom-up computational processes and mid-level selectio...
João Carreira, Cristian Sminchisescu
IUI
2011
ACM
14 years 20 days ago
ChemInk: a natural real-time recognition system for chemical drawings
We describe a new sketch recognition framework for chemical structure drawings that combines multiple levels of visual features using a jointly trained conditional random field. ...
Tom Y. Ouyang, Randall Davis