Similarity Search and Applications
Abstract
This book constitutes the proceedings of the 9th International Conference on Similarity Search and Applications, SISAP 2016, held in Tokyo, Japan, in October 2016.
The 18 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 47 submissions. The program of the conference was grouped in 8 categories as follows: graphs and networks; metric and permutation-based indexing; multimedia; text and document similarity; comparisons and benchmarks; hashing techniques; time-evolving data; and scalable similarity search.
Keywords
comparisons and benchmarks
hashing techniques
time-evolving data
scalable similarity search
data-dependent hashing for similarity search
defying the gravity of learning curves: are more samples better for nearest neighbor anomaly detectors
partial similarity match with multi-instance multi-label learning
text and document similarity
multimedia
metric and permutation-based indexing
graphs and networks