no code implementations • 1 Mar 2021 • Marek Chrobak, Mordecai Golin, J. Ian Munro, Neal E. Young
We address the question "what is the additional cost of determining approximate locations for non-key queries"?
Data Structures and Algorithms 68P10, 68P30, 68W25, 94A45 E.4; G.1.6; G.2.2; H.3.1; I.4.2
no code implementations • 1 Mar 2021 • Marek Chrobak, Mordecai Golin, J. Ian Munro, Neal E. Young
We present a simple $O(n^4)$-time algorithm for computing optimal search trees with two-way comparisons.
Data Structures and Algorithms 68P10, 68P30, 68W25, 94A45 E.4; G.1.6; G.2.2; H.3.1; I.4.2
no code implementations • 27 May 2020 • Christos Koufogiannakis, Neal E. Young
The approximation ratio D is the maximum number of variables in any constraint.
Data Structures and Algorithms Distributed, Parallel, and Cluster Computing 90C26, 68W15 C.2.4; G.1.6
no code implementations • CVPR 2018 • Sourya Roy, Sujoy Paul, Neal E. Young, Amit K. Roy-Chowdhury
Minimization of labeling effort for person re-identification in camera networks is an important problem as most of the existing popular methods are supervised and they require large amount of manual annotations, acquiring which is a tedious job.
no code implementations • 2 May 2015 • Marek Chrobak, Mordecai Golin, J. Ian Munro, Neal E. Young
Until this paper, the problem of finding an optimal search tree using 2-way comparisons remained open -- poly-time algorithms were known only for restricted variants.
Data Structures and Algorithms 68P10, 68P30, 68W25, 94A45, E.4; G.1.6; G.2.2; H.3.1; I.4.2