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ECCV
1998
Springer
16 years 4 months ago
A Probabilistic Approach to Object Recognition Using Local Photometry and Global Geometry
Many object classes, including human faces, can be modeled as a set of characteristic parts arranged in a variable spatial con guration. We introduce a simpli ed model of a deforma...
Michael C. Burl, Markus Weber, Pietro Perona
ICML
2007
IEEE
16 years 3 months ago
Robust mixtures in the presence of measurement errors
We develop a mixture-based approach to robust density modeling and outlier detection for experimental multivariate data that includes measurement error information. Our model is d...
Ata Kabán, Jianyong Sun, Somak Raychaudhury
IJCV
2006
262views more  IJCV 2006»
15 years 3 months ago
A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional
In this paper, we propose a new variational model to segment an object belonging to a given shape space using the active contour method, a geometric shape prior and the Mumford-Sha...
Xavier Bresson, Pierre Vandergheynst, Jean-Philipp...
ICC
2007
IEEE
125views Communications» more  ICC 2007»
15 years 9 months ago
Scalable Fault Diagnosis in IP Networks using Graphical Models: A Variational Inference Approach
In this paper we investigate the fault diagnosis problem in IP networks. We provide a lower bound on the average number of probes per edge using variational inference technique pro...
Rajesh Narasimha, Souvik Dihidar, Chuanyi Ji, Stev...
JNW
2006
108views more  JNW 2006»
15 years 3 months ago
System-Level Fault Diagnosis Using Comparison Models: An Artificial-Immune-Systems-Based Approach
The design of large dependable multiprocessor systems requires quick and precise mechanisms for detecting the faulty nodes. The problem of system-level fault diagnosis is computati...
Mourad Elhadef, Shantanu Das, Amiya Nayak