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METRIC SCALE CALCULATION FOR VISUAL MAPPING ALGORITHMS
Visual SLAM Point Cloud Pose Estimation Scale Calculation Object Detection
2018/6/4
Visual SLAM algorithms allow localizing the camera by mapping its environment by a point cloud based on visual cues. To obtain the camera locations in a metric coordinate system, the metric scale of t...
Introduction to Quantum Algorithms for Physics and Chemistry
Introduction Quantum Algorithms Physics Chemistry
2016/1/22
Controllable quantum systems provide unique opportunities for solving problems in quantum chemistry and many-body physics that are intractable by classical computers. This approach is called “quantum ...
Algorithms for the inversion of lidar signals: Rayleigh-Mie measurements in the stratosphere
lidar dial ozone aerosol temperature
2015/10/8
We report the features and the performances of the algorithms, developed at the Lidar Station of L'Aquila, for retrieving atmospheric parameters and constituents from elastic lidar signals. The algori...
Fast Algorithms for Signal Reconstruction without Phase
Frames mutually unbiased bases equiangular frames projective 2-designs discrete chirps
2015/9/29
We derive fast algorithms for doing signal reconstruction without phase. This type of problem is important insignal processing, especially speech recognition technology, and has relevance for state to...
Algorithms for Representation Theory of Real Reductive Groups
Representation Theory Real Reductive Groups
2015/9/28
The irreducible admissible representations of a real reductive group such as GL(n, R) have been classified by work of Langlands, Knapp, Zuckerman and Vogan. This classification is somewhat involved an...
Endmember extraction algorithms from hyperspectral images
endmember extraction hyperspectral mixtures linear spectral unmixing
2015/9/7
During the last years, several high-resolution sensors have been developed for hyperspectral remote sensing applications.Some of these sensors are already available on space-borne devices. Space-borne...
Universality in Polytope Phase Transitions and Message Passing Algorithms
Nonlinear mapping symmetric random matrix spin glass theory approximate messaging algorithm
2015/8/21
We consider a class of nonlinear mappings FA;N in RN indexed by symmetric random matrices A 2 RNN with independent entries. Within spin glass theory, special cases of these mappings correspond to ite...
NEW MULTICATEGORY BOOSTING ALGORITHMS BASED ON MULTICATEGORY FISHER-CONSISTENT LOSSES
MULTICATEGORY BOOSTING ALGORITHMS MULTICATEGORY FISHER-CONSISTENT LOSSES
2015/8/21
Fisher-consistent loss functions play a fundamental role in the construction of successful binary margin-based classifiers. In this paper we establish the Fisher-consistency condition for multicategor...
Regularization Path Algorithms for Detecting Gene Interactions
Path Algorithms Detecting Gene Interactions
2015/8/21
In this study, we consider several regularization path algorithms with grouped variable selection for modeling gene-interactions. When fitting with categorical factors, including the genotype measurem...
The Dynamic Phase Transition for Decoding Algorithms
Error correction coding the random structure random graph random arrangement
2015/8/21
The state-of-the-art error correcting codes are based on large random constructions (random graphs, random permutations, . . . ) and are decoded by linear-time iterative algorithms. Because of these f...
BOOSTING ALGORITHMS:REGULARIZATION,PREDICTION AND MODEL FITTING
Generalized linear models Generalized additive models Gradient boosting Survival analysis Variable selection Software
2015/8/21
We present a statistical perspective on boosting. Special emphasis is given to estimating potentially complex parametric or nonparametric models, including generalized linear and additive models as we...
Comment:Boosting Algorithms:Regularization,Prediction and Model Fitting
Boosting Algorithms Regularization Prediction Model Fitting
2015/8/21
We congratulate the authors (hereafter BH) for an interesting take on the boosting technology, and for developing a modular computational environment in R for exploring their models. Their use of low-...
Spectral Regularization Algorithms for Learning Large Incomplete Matrices
collaborative filtering nuclear norm spectral regularization netflix prize large scale convex optimization
2015/8/21
We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we provide a simple and...
Approximate analysis of search algorithms with “physical” methods
Statistical physics analysis of algorithms stochastic input the physical concept
2015/8/20
An overview of some methods of statistical physics applied to the analysis of algorithms for optimization problems (satisfiability of Boolean constraints, vertex cover of graphs, decoding, ...) with d...
Evaluation of soil thermal diffusivity algorithms at two equatorial sites in West Africa
Thermal diffusivity Soil temperature Soil moisture content West Africa
2015/8/18
This study presents comparisons between six algorithms used in the calculation of apparent thermal diffusivity (Kh) of the topsoil during measurement campaigns conducted at two equatorial sites. It fu...