43 citations · 43 across the 3 of their papers we have counts for
4 papers
A statistical significance testing approach for measuring term burstiness with applications to domain-specific terminology extraction
Samuel Sarria Hurtado, Todd Mullen, Taku Onodera +1
A term in a corpus is said to be ``bursty'' (or overdispersed) when its occurrences are concentrated in few out of many documents. In this paper, we propose Residual Inverse Collec…
Succinct Oblivious RAM
Taku Onodera, Tetsuo Shibuya
Reducing the database space overhead is critical in big-data processing. In this paper, we revisit oblivious RAM (ORAM) using big-data standard for the database space overhead. ORA…
A Preferential Attachment Paradox: How Preferential Attachment Combines with Growth to Produce Networks with Log-normal In-degree Distributions
Paul Sheridan, Taku Onodera
Every network scientist knows that preferential attachment combines with growth to produce networks with power-law in-degree distributions. How, then, is it possible for the networ…
Detecting Superbubbles in Assembly Graphs
Taku Onodera, Kunihiko Sadakane, Tetsuo Shibuya
We introduce a new concept of a subgraph class called a superbubble for analyzing assembly graphs, and propose an efficient algorithm for detecting it. Most assembly algorithms uti…