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ICIP
2008
IEEE
14 years 2 months ago
Decomposition of branching volume data by tip detection
We present an approach to decomposing branching volume data into sub-branches. First, a metric is proposed for evaluating local convexities in volumetric data, and it is a criteri...
Wei Ma, Bo Xiang, Xiaopeng Zhang, Hongbin Zha
ICASSP
2011
IEEE
12 years 11 months ago
An unsupervised algorithm for hybrid/morphological signal decomposition
The main contribution presented here is an adaptive/unsupervised iterative thresholding algorithm for sparse representation of signals which can be modeled as the sum of two compo...
Matthieu Kowalski, Thomas Rodet
SIAMJO
2011
12 years 10 months ago
Rank-Sparsity Incoherence for Matrix Decomposition
Suppose we are given a matrix that is formed by adding an unknown sparse matrix to an unknown low-rank matrix. Our goal is to decompose the given matrix into its sparse and low-ran...
Venkat Chandrasekaran, Sujay Sanghavi, Pablo A. Pa...
IROS
2007
IEEE
128views Robotics» more  IROS 2007»
14 years 1 months ago
A scalable distributed algorithm for shape transformation in multi-robot systems
Abstract— Distributed reconfiguration is an important problem in multi-robot systems such as mobile sensor nets and metamorphic robot systems. In this work, we present a scalabl...
Ram Ravichandran, G. Gordon, Seth Copen Goldstein
CDC
2009
IEEE
137views Control Systems» more  CDC 2009»
14 years 9 days ago
Kernel regression for travel time estimation via convex optimization
—We develop an algorithm aimed at estimating travel time on segments of a road network using a convex optimization framework. Sampled travel time from probe vehicles are assumed ...
Sebastien Blandin, Laurent El Ghaoui, Alexandre M....