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ICIP
2008
IEEE
15 years 8 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
14 years 5 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
14 years 4 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»
15 years 8 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»
15 years 6 months 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....