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ICIP
2006
IEEE
16 years 1 months ago
Unsupervised Image Layout Extraction
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
David Liu, Datong Chen, Tsuhan Chen
ICIP
2010
IEEE
14 years 9 months ago
Object detection and segmentation on a hierarchical region-based image representation
In this paper we present a general framework for object detection and segmentation. Using a bottom-up unsupervised merging algorithm, a region-based hierarchy that represents the ...
Verónica Vilaplana, Ferran Marqués, ...
CICLING
2006
Springer
15 years 3 months ago
A Comparative Evaluation of a New Unsupervised Sentence Boundary Detection Approach on Documents in English and Portuguese
Abstract. In this paper, we describe a new unsupervised sentence boundary detection system and present a comparative study evaluating its performance against different systems foun...
Jan Strunk, Carlos Nascimento Silla Jr., Celso A. ...
ECCV
2008
Springer
16 years 1 months ago
Object Recognition by Integrating Multiple Image Segmentations
The joint tasks of object recognition and object segmentation from a single image are complex in their requirement of not only correct classification, but also deciding exactly whi...
Caroline Pantofaru, Cordelia Schmid, Martial Heber...
ICIP
2005
IEEE
16 years 1 months ago
Segmenting non stationary images with triplet Markov fields
The hidden Markov field (HMF) model has been used in many model-based solutions to image analysis problems, including that of image segmentation, and generally gives satisfying re...
Dalila Benboudjema, Wojciech Pieczynski