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126
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TSMC
2010
14 years 9 months ago
Comparison of Optimal Solutions to Real-Time Path Planning for a Mobile Vehicle
In this paper, we present two near-optimal methods to determine the real-time collision-free path for a mobile vehicle moving in a dynamically changing environment. The proposed de...
Jian Yang, Zhihua Qu, Jing Wang 0005, Kevin L. Con...
135
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Causal signal recovery from U-invariant samples
Causal processing of a signal’s samples is crucial in on-line applications such as audio rate conversion, compression, tracking and more. This paper addresses the problem of cau...
Tomer Michaeli, Yonina C. Eldar, Volker Pohl
154
Voted
PAMI
2012
13 years 5 months ago
Joint Depth and Color Camera Calibration with Distortion Correction
—We present an algorithm that simultaneously calibrates two color cameras, a depth camera, and the relative pose between them. The method is designed to have three key features: ...
Daniel Herrera C., Juho Kannala, Janne Heikkil&aum...
162
Voted
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 5 months ago
Sampling minimal frequent boolean (DNF) patterns
We tackle the challenging problem of mining the simplest Boolean patterns from categorical datasets. Instead of complete enumeration, which is typically infeasible for this class ...
Geng Li, Mohammed J. Zaki
ISAAC
2009
Springer
175views Algorithms» more  ISAAC 2009»
15 years 9 months ago
Worst-Case and Smoothed Analysis of k-Means Clustering with Bregman Divergences
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
Bodo Manthey, Heiko Röglin