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ICASSP
2010
IEEE
13 years 8 months ago
Robust regression using sparse learning for high dimensional parameter estimation problems
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
SPAA
2010
ACM
13 years 8 months ago
On the bit communication complexity of randomized rumor spreading
We study the communication complexity of rumor spreading in the random phone-call model. Suppose n players communicate in parallel rounds, where in each round every player calls a...
Pierre Fraigniaud, George Giakkoupis
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
14 years 1 months ago
Informative performance metrics for dynamic optimisation problems
Existing metrics for dynamic optimisation are designed primarily to rate an algorithm’s overall performance. These metrics show whether one algorithm is better than another, but...
Stefan Bird, Xiaodong Li
TEC
2012
234views Formal Methods» more  TEC 2012»
11 years 10 months ago
Cooperatively Coevolving Particle Swarms for Large Scale Optimization
—This paper presents a new cooperative coevolving particle swarm optimization (CCPSO) algorithm in an attempt to address the issue of scaling up particle swarm optimization (PSO)...
Xiaodong Li, Xin Yao
CVPR
2010
IEEE
14 years 3 months ago
The Cluttered Background Problem for Active Contours: A Minimum-Latency Solution
We present a region-based active contour detection algorithm for objects that exhibit relatively homogeneous photometric characteristics (e.g. smooth color or gray levels), embedd...
Stefano Soatto, Ganesh Sundaramoorthi, Anthony Yez...