On the Least Median Square Problem
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Summary
This work considers the exact and approximate computational complexity of the multivariate LMS linear regression estimator, and provides nearly matching lowerbounds for these problems, under the assumption that deciding whether n given points in ℝ d are affinely nondegenerate requires Ω(nd) time.
- Type
- article
- Published
- 2004-06-08
- Cited by
- 42
- References
- 32
- Access
- Open access
- OpenAlex
- https://openalex.org/W2012297307
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:10998314
Keywords
Estimator, Hyperplane, Bounded function, Mathematics, Multivariate statistics
References
- On the relative complexities of some geometric problems
- Lower bounds for algebraic computation trees
- Lower bounds for linear satisfiability problems
- Data structures for mobile data
- Computational geometry - an introduction through randomized algorithms
- The Discrepancy Method: Randomness and Complexity
- New lower bounds for convex hull problems in odd dimensions
- On geometric optimization with few violated constraints
- Geometric Applications of a Randomized Optimization Technique
- An Approximation Algorithm for Least Median of Squares Regression
- On the Complexity of Approximating Extremal Determinants in Matrices
- Computing Least Median of Squares Regression Lines and Guided Topological Sweep
- Robust regression methods for computer vision: A review
- HIGH BREAKDOWN-POINT AND HIGH EFFICIENCY ROBUST ESTIMATES FOR REGRESSION
- Randomized Optimal Algorithm for Slope Selection
- Shape fitting with outliers
- A practical approximation algorithm for the LMS line estimator
- Efficient Perturbations for Handling Geometric Degeneracies
- A randomized algorithm for slope selection
- Low-dimensional linear programming with violations
Cited by
- View Synthesis from Image and Video for Object Recognition Applications
- Sub-linear Time Hybrid Approximations for Least Trimmed Squares Estimator and Related Problems
- Extended least trimmed squares estimator in semiparametric regression models with correlated errors
- Least quantile regression via modern optimization
- Fitting a Step Function to a Point Set with Outliers Based on Simplicial thickness Data Structures
- A Robust Least Mean Square Algorithm for Adaptive Array Signal Processing
- NBS: A new representation for point surfaces based on genetic clustering algorithm: CAD and Graphics
- On the Least Trimmed Squares Estimator
- Fitting Flats to Points with Outliers
- SOCP relaxation bounds for the optimal subset selection problem applied to robust linear regression
- Moving Object Verification in Airborne Video Sequences
- REGRESYON ANALİZİNDE KULLANILAN EN KÜÇÜK KARELER VE EN KÜÇÜK MEDYAN KARELER YÖNTEMLERİNİN KARŞILAŞTIRILMASI
- Segmentation and wake removal of seafaring vessels in optical satellite images
- Effiziente Algorithmen und Komplexität in der robusten Statistik
- VIDEO DENOISING USING SWITCHING ADAPTIVE DECISION BASED ALGORITHM WITH ROBUST MOTION ESTIMATION TECHNIQUE
- GPU-Based Computation of 2D Least Median of Squares with Applications to Fast and Robust Line Detection
- Robust ridge estimator in restricted semiparametric regression models
- Feasible robust estimator in restricted semiparametric regression models based on the LTS approach
- Least-trimmed squares: asymptotic normality of robust estimator in semiparametric regression models
- Efficient and Robust Median-of-Means Algorithms for Location and Regression
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