Database Paper Browser

Back to papers

Deterministic Wavelet Thresholding for Maximum-Error Metrics

Summary: Deterministic algorithms for wavelet thresholding that directly minimize maximum absolute/relative reconstruction error, avoiding the failure modes of prior probabilistic schemes. Provides an optimal low-polynomial DP for 1D and polynomial-time approximation schemes with tunable guarantees for multi-D. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1319
Venue
PODS
Year
2004
Pagerank
5.9887317e-05
Overall Rank
4,698 | 67.32%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers