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Chapter and Conference Paper
Fast Incremental PageRank on Dynamic Networks
Real-world networks are very large and are constantly changing. Computing PageRank values for such dynamic networks is an important challenge in network science. In this paper, we propose an efficient Monte Ca...
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Chapter and Conference Paper
Transferring Neural Representations for Low-Dimensional Indexing of Maya Hieroglyphic Art
We analyze the performance of deep neural architectures for extracting shape representations of binary images, and for generating low-dimensional representations of them. In particular, we focus on indexing bi...