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» Markov Random Field Models in Computer Vision
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ACISICIS
2007
IEEE
15 years 8 months ago
Minimum Message Length Clustering of Spatially-Correlated Data with Varying Inter-Class Penalties
We present here some applications of the Minimum Message Length (MML) principle to spatially correlated data. Discrete valued Markov Random Fields are used to model spatial correl...
Gerhard Visser, David L. Dowe
MICCAI
2000
Springer
15 years 5 months ago
Fusing Speed and Phase Information for Vascular Segmentation in Phase Contrast MR Angiograms
This paper presents a statistical approach to aggregating speed and phase (directional) information for vascular segmentation in phase contrast magnetic resonance angiograms (PC-MR...
Albert C. S. Chung, J. Alison Noble, Paul E. Summe...
ICCV
2003
IEEE
16 years 3 months ago
Cumulative Residual Entropy, A New Measure of Information & its Application to Image Alignment
In this paper we use the cumulative distribution of a random variable to define the information content in it and use it to develop a novel measure of information that parallels S...
Fei Wang, Baba C. Vemuri, Murali Rao, Yunmei Chen
ACCV
2009
Springer
15 years 5 months ago
Semantic Classification in Aerial Imagery by Integrating Appearance and Height Information
Abstract. In this paper we present an efficient technique to obtain accurate semantic classification on the pixel level capable of integrating various modalities, such as color, ed...
Stefan Kluckner, Thomas Mauthner, Peter M. Roth, H...
HICSS
2006
IEEE
152views Biometrics» more  HICSS 2006»
15 years 7 months ago
Distributed Uniform Sampling in Unstructured Peer-to-Peer Networks
— Uniform sampling in networks is at the core of a wide variety of randomized algorithms. Random sampling can be performed by modeling the system as an undirected graph with asso...
Asad Awan, Ronaldo A. Ferreira, Suresh Jagannathan...