TY  -  
T1  - Efficient Autotuning of Hyperparameters in Approximate Nearest Neighbor Search 
SN  -  /  
UR  - http://hdl.handle.net/10138/303722 
T3  - Lecture Notes in Artificial Intelligence 
A1  - Jääsaari, Elias; Hyvönen, Ville; Roos, Teemu 
A2  -  
PB  - Springer 
Y1  - 2019 
LA  - eng 
AB  - Approximate nearest neighbor algorithms are used to speed up nearest neighbor search in a wide array of applications. However, current indexing methods feature several hyperparameters that need to be tuned to reach an acceptable accuracy–speed trade-off. A grid search in the parameter space is often impractically slow due to a time-consuming index-building procedure. Therefore, we propose an algorithm for automatically tuning the hyperparameters of indexing methods based on randomized space-part... 
VO  -  
IS  -  
SP  -  
OP  -  
KW  - 113 Computer and information sciences 
N1  -   
PP  -  
ER  -