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ICCV
2011
IEEE
12 years 10 months ago
Learning to Cluster Using High Order Graphical Models with Latent Variables
This paper proposes a very general max-margin learning framework for distance-based clustering. To this end, it formulates clustering as a high order energy minimization problem w...
Nikos Komodakis
AAAI
2011
12 years 10 months ago
Pushing the Power of Stochastic Greedy Ordering Schemes for Inference in Graphical Models
We study iterative randomized greedy algorithms for generating (elimination) orderings with small induced width and state space size - two parameters known to bound the complexity...
Kalev Kask, Andrew Gelfand, Lars Otten, Rina Decht...
MICCAI
2005
Springer
14 years 11 months ago
Cross Entropy: A New Solver for Markov Random Field Modeling and Applications to Medical Image Segmentation
This paper introduces a novel solver, namely cross entropy (CE), into the MRF theory for medical image segmentation. The solver, which is based on the theory of rare event simulati...
Jue Wu, Albert C. S. Chung
PERCOM
2004
ACM
14 years 9 months ago
Modelling and Using Imperfect Context Information
Most recently developed context-aware software applications make unrealistic assumptions about the quality of the available context information, which can lead to inappropriate ac...
Karen Henricksen, Jadwiga Indulska
ICSM
2009
IEEE
14 years 4 months ago
Predicting change impact from logical models
To improve the ability of predicting the impact scope of a given change, we present two approaches applicable to the maintenance of object-oriented software systems. Our first ap...
Sunny Wong, Yuanfang Cai