The field of machine learning (ML) is concerned with the question of how to construct algorithms that automatically improve with experience. In recent years many successful ML app...
We present a new algorithm for automatically solving jigsaw puzzles byshapealone.Thealgorithm cansolvemore difficult puzzlesthan couldbesolved before, without the use of backtracki...
David Goldberg, Christopher Malon, Marshall W. Ber...
We present a new incremental algorithm for constructing the union of n triangles in the plane. In our experiments, the new algorithm, which we call the Disjoint-Cover (DC) algorit...
cross-linguistically valid claims about which discourses are easier to process, abstracting away from specific algorithms for anaphora resolution or anaphora generation (although m...
Massimo Poesio, Rosemary Stevenson, Barbara Di Eug...
A number of web cache-related algorithms, such as replacement and prefetching policies, rely on specific characteristics present in the sequence of requests for efficient performa...
Konstantinos Psounis, An Zhu, Balaji Prabhakar, Ra...
In recent years it has been shown that, above a certain complexity, points become the most efficient rendering primitives. Although the programmability of the lastest graphics har...
Scheduling algorithms for input-queued packet switches have been widely researched. It has been shown that various classes of scheduling algorithms provide guarantees on stability ...
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Background: The general problem of RNA secondary structure prediction under the widely used thermodynamic model is known to be NP-complete when the structures considered include a...
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, ...