Sciweavers

ICDE   2012 International Conference on Data Engineering
Wall of Fame | Most Viewed ICDE-2012 Paper
ICDE
2012
IEEE
343views Database» more  ICDE 2012»
11 years 6 months ago
Bi-level Locality Sensitive Hashing for k-Nearest Neighbor Computation
We present a new Bi-level LSH algorithm to perform approximate k-nearest neighbor search in high dimensional spaces. Our formulation is based on a two-level scheme. In the first ...
Jia Pan, Dinesh Manocha
Disclaimer and Copyright Notice
Sciweavers respects the rights of all copyright holders and in this regard, authors are only allowed to share a link to their preprint paper on their own website. Every contribution is associated with a desciptive image. It is the sole responsibility of the authors to ensure that their posted image is not copyright infringing. This service is compliant with IEEE copyright.
IdReadViewsTitleStatus
1Download preprint from source343
2Download preprint from source309
3Download preprint from source304
4Download preprint from source298
5Download preprint from source291
6Download preprint from source285
7Download preprint from source277
8Download preprint from source277
9Download preprint from source273
10Download preprint from source269
11Download preprint from source267
12Download preprint from source257
13Download preprint from source256
14Download preprint from source252
15Download preprint from source252
16Download preprint from source251
17Download preprint from source250
18Download preprint from source249
19Download preprint from source246
20Download preprint from source241
21Download preprint from source240
22Download preprint from source240
23Download preprint from source239
24Download preprint from source238
25Download preprint from source237
26Download preprint from source233
27Download preprint from source232
28Download preprint from source232
29Download preprint from source228
30Download preprint from source228
31Download preprint from source227
32Download preprint from source227
33Download preprint from source224
34Download preprint from source223
35Download preprint from source221
36Download preprint from source216
37Download preprint from source212
38Download preprint from source208
39Download preprint from source208
40Download preprint from source205
41Download preprint from source204
42Download preprint from source203
43Download preprint from source202
44Download preprint from source202
45Download preprint from source199
46Download preprint from source197
47Download preprint from source196
48Download preprint from source191
49Download preprint from source191