Approximate distance oracles and ANN structures for short Fréchet queries on curves achieve space O((k log(1/ε) ε^{-d})^k) independent of input size N with O(k^2) query time.
The One-Way Communication Complexity of Dynamic Time Warping Distance
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abstract
We resolve the randomized one-way communication complexity of Dynamic Time Warping (DTW) distance. We show that there is an efficient one-way communication protocol using $\widetilde{O}(n/\alpha)$ bits for the problem of computing an $\alpha$-approximation for DTW between strings $x$ and $y$ of length $n$, and we prove a lower bound of $\Omega(n / \alpha)$ bits for the same problem. Our communication protocol works for strings over an arbitrary metric of polynomial size and aspect ratio, and we optimize the logarithmic factors depending on properties of the underlying metric, such as when the points are low-dimensional integer vectors equipped with various metrics or have bounded doubling dimension. We also consider linear sketches of DTW, showing that such sketches must have size $\Omega(n)$.
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cs.CG 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
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Sublinear data structures for short Fr\'echet queries
Approximate distance oracles and ANN structures for short Fréchet queries on curves achieve space O((k log(1/ε) ε^{-d})^k) independent of input size N with O(k^2) query time.