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» A new theoretic framework for cross-layer optimization
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CVPR
2003
IEEE
13 years 10 months ago
Graph-Theoretic Approach to Clustering and Segmentation
We develop a framework for the image segmentation problem based on a new graph-theoretic formulation of clustering. The approach is motivated by the analogies between the intuitiv...
Massimiliano Pavan, Marcello Pelillo
SIAMSC
2010
132views more  SIAMSC 2010»
13 years 3 months ago
New Algorithms for Optimal Online Checkpointing
Frequently, the computation of derivatives for optimizing time-dependent problems is based on the integration of the adjoint differential equation. For this purpose, the knowledge...
Philipp Stumm, Andrea Walther
TSP
2008
144views more  TSP 2008»
13 years 5 months ago
A New Robust Variable Step-Size NLMS Algorithm
A new framework for designing robust adaptive filters is introduced. It is based on the optimization of a certain cost function subject to a time-dependent constraint on the norm o...
Leonardo Rey Vega, Hernan Rey, Jacob Benesty, Sara...
ICCV
2007
IEEE
14 years 7 months ago
MRF Optimization via Dual Decomposition: Message-Passing Revisited
A new message-passing scheme for MRF optimization is proposed in this paper. This scheme inherits better theoretical properties than all other state-of-the-art message passing met...
Nikos Komodakis, Nikos Paragios, Georgios Tziritas
ICDM
2008
IEEE
115views Data Mining» more  ICDM 2008»
13 years 11 months ago
Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons
Nonnegative Matrix Factorization (NMF) is a dimension reduction method that has been widely used for various tasks including text mining, pattern analysis, clustering, and cancer ...
Jingu Kim, Haesun Park