%0 Conference Paper %1 6909650 %A Lin, G. %A Shen, C. %A Shi, Q. %A van den Hengel, A. %A Suter, D. %B 2014 IEEE Conference on Computer Vision and Pattern Recognition %D 2014 %K block code codes;Decision codes;cryptography;decision codes;graph-cut;hashing;image coding;image data;binary data;large-scale decision formulations;Binary functions;high-dimensional hashing;hash inference inference;sub-modular machines;Training;Training mechanisms;GraphCut;binary method;boosted problem;block retrieval retrieval;inference search supervised trees;Kernel;Optimization;Support trees;fast trees;image vector %P 1971-1978 %R 10.1109/CVPR.2014.253 %T Fast Supervised Hashing with Decision Trees for High-Dimensional Data

@inproceedings{6909650, added-at = {2022-03-14T06:20:47.000+0100}, author = {Lin, G. and Shen, C. and Shi, Q. and van den Hengel, A. and Suter, D.}, biburl = {https://www.bibsonomy.org/bibtex/23a798a17bddf69e90b5913fecf6df5bb/dsuter}, booktitle = {2014 IEEE Conference on Computer Vision and Pattern Recognition}, doi = {10.1109/CVPR.2014.253}, interhash = {49b59c75c42332328dcd1d4b112b87fc}, intrahash = {3a798a17bddf69e90b5913fecf6df5bb}, issn = {1063-6919}, keywords = {block code codes;Decision codes;cryptography;decision codes;graph-cut;hashing;image coding;image data;binary data;large-scale decision formulations;Binary functions;high-dimensional hashing;hash inference inference;sub-modular machines;Training;Training mechanisms;GraphCut;binary method;boosted problem;block retrieval retrieval;inference search supervised trees;Kernel;Optimization;Support trees;fast trees;image vector}, month = {June}, pages = {1971-1978}, timestamp = {2022-03-14T06:20:47.000+0100}, title = {Fast Supervised Hashing with Decision Trees for High-Dimensional Data}, year = 2014 }