Point location in arrangements of hyperplanes
Information and Computation
Journal of Computer and System Sciences
Lower bounds for union-split-find related problems on random access machines
STOC '94 Proceedings of the twenty-sixth annual ACM symposium on Theory of computing
Two algorithms for nearest-neighbor search in high dimensions
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
Approximate nearest neighbors: towards removing the curse of dimensionality
STOC '98 Proceedings of the thirtieth annual ACM symposium on Theory of computing
The art of computer programming, volume 3: (2nd ed.) sorting and searching
The art of computer programming, volume 3: (2nd ed.) sorting and searching
On data structures and asymmetric communication complexity
Journal of Computer and System Sciences
A lower bound on the complexity of approximate nearest-neighbor searching on the Hamming cube
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
Lower bounds for high dimensional nearest neighbor search and related problems
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
Journal of the ACM (JACM)
Tighter bounds for nearest neighbor search and related problems in the cell probe model
STOC '00 Proceedings of the thirty-second annual ACM symposium on Theory of computing
The discrepancy method: randomness and complexity
The discrepancy method: randomness and complexity
Time-space tradeoffs, multiparty communication complexity, and nearest-neighbor problems
STOC '02 Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
On approximate nearest neighbors under I norm
Journal of Computer and System Sciences
Efficient Search for Approximate Nearest Neighbor in High Dimensional Spaces
SIAM Journal on Computing
New Algorithms for Subset Query, Partial Match, Orthogonal Range Searching, and Related Problems
ICALP '02 Proceedings of the 29th International Colloquium on Automata, Languages and Programming
Analysis of associative retrieval algorithms.
Analysis of associative retrieval algorithms.
Prefix forwarding for publish/subscribe
Proceedings of the 2007 inaugural international conference on Distributed event-based systems
Bloom filter based routing for content-based publish/subscribe
Proceedings of the second international conference on Distributed event-based systems
ACM Transactions on Computation Theory (TOCT)
An Optimal Randomized Cell Probe Lower Bound for Approximate Nearest Neighbor Searching
SIAM Journal on Computing
Unifying the Landscape of Cell-Probe Lower Bounds
SIAM Journal on Computing
Permutation indexing: fast approximate retrieval from large corpora
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Given a database of n points in {0, 1)d, the partial match problem is: In response to a query x in {0,1,*}d, is there a database point y such that for every i whenever xi ≠ *, we have xi = yi. In this paper we show randomized lower bounds in the cell-probe model for this well-studied problem (Analysis of associative retrieval algorithms, Ph.D. Thesis, Stanford University, 1974; The Art of Computer Programming; Sorting and Searching, Addison-Wesley, Reading, MA, 1973; SIAM J. Comput. 5(1) (1976) 19; J. Comput. System Sci. 57(1) (1998) 37; Proceedings of the 31st Annual ACM Symposium on Theory of Computing, 1999; Proceedings of the 29th International Colloquium on Algorithms, Logic, and Programming, 1999).Our lower bounds follow from a near-optimal asymmetric communication complexity lower bound for this problem. Specifically, we show that either Alice has to send Ω(d/log n) bits or Bob has to send Ω(n1-o(1)) bits. When applied to the cell-probe model, it means that if the number of cells is restricted to be poly(n,d) where each cell is of size poly(log n,d), then Ω(d/log2 n) probes are needed. This is an exponential improvement over the previously known lower bounds for this problem obtained by Miltersen et al. (1998) and Borodin et al. (1999).Our lower bound also leads to new and improved lower bounds for related problems including a lower bound for the l∞ c-nearest neighbor problem for c