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      Spanning subspace configurations

      March 18, 2019

      Mathematics
      Combinatorics
      A {\em spanning configuration} in the complex vector space Ck\mathbb{C}^kCk is a sequence (W1,…,Wr)(W_1, \dots, W_r)(W1​,…,Wr​) of linear subspaces of Ck\mathbb{C}^kCk such that W1+⋯+Wr=CkW_1 + \cdots + W_r = \mathbb{C}^kW1​+⋯+Wr​=Ck. We present the integral cohomology of the modul...

      The Einstein Relation on Metric Measure Spaces

      March 17, 2019

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      Mathematics
      Functional Analysis
      Probability
      Functional Analysis
      Probability
      This note is based on F. Burghart's master thesis at Stuttgart university from July 2018, supervised by Prof. Freiberg. We review the Einstein relation, which connects the Hausdorff, local walk and spectral dimensions on a space, in the a...

      Multi-camera calibration with pattern rigs, including for non-overlapping cameras: CALICO

      March 15, 2019

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      Computer Science
      Computer Vision and Pattern Recognition
      This paper describes CALICO, a method for multi-camera calibration suitable for challenging contexts: stationary and mobile multi-camera systems, cameras without overlapping fields of view, and non-synchronized cameras. Recent approaches ar...

      Lifting coarse homotopies

      March 14, 2019

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      Mathematics
      Geometric Topology
      Metric Geometry
      Geometric Topology
      Metric Geometry
      Coarse geometry, and in particular coarse homotopy theory, has proven to be a powerful tool for approaching problems in geometric group theory and higher index theory. In this paper, we continue to develop theory in this area by proving a C...

      The triangle inequality for graded real vector spaces

      March 14, 2019

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      Mathematics
      General Mathematics
      In this paper, we prove that a natural candidate for a homogeneous norm on a graded Lie algebra of any length satisfies the triangle inequality which answers Moskowitz's question....

      Topological properties of Wazewski dendrite groups

      March 13, 2019

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      Mathematics
      Group Theory
      Dynamical Systems
      Logic
      Group Theory
      Dynamical Systems
      Logic
      Homeomorphism groups of generalized Wa\.zewski dendrites act on the infinite countable set of branch points of the dendrite and thus have a nice Polish topology. In this paper, we study them in the light of this Polish topology. The group o...

      Quantum Walk and Quantum Billiards. Towards a better understanding of Quantum Chaos

      March 12, 2019

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      Physics
      Quantum Physics
      Quantum Physics
      Quantum billiards have been simulated so far in many ways, but in this work a new aproximation is considerated. This study is based on the quantum billiard already obtained by others authors via a tensor product of two 1-D quantum walks . C...

      Quantization and the Resolvent Algebra

      March 12, 2019

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      Mathematics
      Functional Analysis
      Functional Analysis
      We introduce a novel commutative C*-algebra CR(X)C_\mathcal{R}(X)CR​(X) of functions on a symplectic vector space (X,σ)(X,\sigma)(X,σ) admitting a complex structure, along with a strict deformation quantization that maps a dense subalgebra of $C_\mathcal{R}...

      Elements of Sequential Monte Carlo

      March 12, 2019

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      Statistics
      Computer Science
      Machine Learning
      Machine Learning
      Computation
      Machine Learning
      Machine Learning
      Computation
      A core problem in statistics and probabilistic machine learning is to compute probability distributions and expectations. This is the fundamental problem of Bayesian statistics and machine learning, which frames all inference as expectation...

      Flexible Clustering with a Sparse Mixture of Generalized Hyperbolic Distributions

      March 12, 2019

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      Statistics
      Methodology
      Machine Learning
      Robust clustering of high-dimensional data is an important topic because clusters in real datasets are often heavy-tailed and/or asymmetric. Traditional approaches to model-based clustering often fail for high dimensional data, e.g., due to...
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