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ICCV
2005
IEEE
14 years 11 months ago
Probabilistic Contour Extraction Using Hierarchical Shape Representation
In this paper, we address the issue of extracting contour of the object with a specific shape. A hierarchical graphical model is proposed to represent shape variations. A complex ...
Xin Fan, Chun Qi, Dequn Liang, Hua Huang
LOGCOM
2000
63views more  LOGCOM 2000»
13 years 9 months ago
Reflection principles in computational logic
We introduce the concept of reflection principle as a knowledge representation paradigm in a computational logic setting. Reflection principles are expressed as certain kinds of l...
Jonas Barklund, Pierangelo Dell'Acqua, Stefania Co...
CVPR
2008
IEEE
14 years 11 months ago
Latent topic random fields: Learning using a taxonomy of labels
An important problem in image labeling concerns learning with images labeled at varying levels of specificity. We propose an approach that can incorporate images with labels drawn...
Xuming He, Richard S. Zemel
CVPR
2005
IEEE
14 years 11 months ago
OBJ CUT
In this paper we present a principled Bayesian method for detecting and segmenting instances of a particular object category within an image, providing a coherent methodology for ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
CASCON
2006
120views Education» more  CASCON 2006»
13 years 10 months ago
Automating function point analysis with model driven development
This paper describes a technique for automating the size estimation of software projects conducted using Model Driven Development methods. Specifically, an algorithm has been impl...
Piero Fraternali, Massimo Tisi, Aldo Bongio