activity
20122017
most citedDimensionality Reduction of Massive Sparse Datasets Using Coresets

34 citations · 51 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2017

A Nonparametric Model for Multimodal Collaborative Activities Summarization

Guy Rosman, John W. Fisher, Daniela Rus

Ego-centric data streams provide a unique opportunity to reason about joint behavior by pooling data across individuals. This is especially evident in urban environments teeming wi…

cs.RO2017

Functional Co-Optimization of Articulated Robots

Andrew Spielberg, Brandon Araki, Cynthia Sung +2

We present parametric trajectory optimization, a method for simultaneously computing physical parameters, actuation requirements, and robot motions for more efficient robot designs…

cs.LG20172 cited

Coresets for Vector Summarization with Applications to Network Graphs

Dan Feldman, Sedat Ozer, Daniela Rus

We provide a deterministic data summarization algorithm that approximates the mean of a set of vectors in $\REAL^d$, by a weighted mean…

cs.RO20172 cited

Baxter's Homunculus: Virtual Reality Spaces for Teleoperation in Manufacturing

Jeffrey I Lipton, Aidan J Fay, Daniela Rus

Expensive specialized systems have hampered development of telerobotic systems for manufacturing systems. In this paper we demonstrate a telerobotic system which can reduce the cos…

cs.RO20156 cited

An Effective Algorithmic Framework for Near Optimal Multi-Robot Path Planning

Jingjin Yu, Daniela Rus

We present a centralized algorithmic framework for solving multi-robot path planning problems in general, two-dimensional, continuous environments while minimizing globally the tas…

cs.DS201534 cited

Dimensionality Reduction of Massive Sparse Datasets Using Coresets

Dan Feldman, Mikhail Volkov, Daniela Rus

In this paper we present a practical solution with performance guarantees to the problem of dimensionality reduction for very large scale sparse matrices. We show applications of o…