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» Average Bit-Complexity of Euclidean Algorithms
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CVPR
2003
IEEE
15 years 11 months ago
Flux Driven Fly Throughs
We present a fast, robust and automatic method for computing central paths through tubular structures for application to virtual endoscopy. The key idea is to utilize a medial sur...
Sylvain Bouix, Kaleem Siddiqi, Allen Tannenbaum
DCC
2003
IEEE
15 years 2 months ago
Rate-Distortion Bound for Joint Compression and Classification
- Rate-distortion theory is applied to the problem of joint compression and classification. A Lagrangian distortion measure is used to consider both the squared Euclidean error in ...
Yanting Dong, Lawrence Carin
STOC
2001
ACM
111views Algorithms» more  STOC 2001»
15 years 10 months ago
Optimal outlier removal in high-dimensional
We study the problem of finding an outlier-free subset of a set of points (or a probability distribution) in n-dimensional Euclidean space. As in [BFKV 99], a point x is defined t...
John Dunagan, Santosh Vempala
SSD
2007
Springer
243views Database» more  SSD 2007»
15 years 3 months ago
Continuous Medoid Queries over Moving Objects
In the k-medoid problem, given a dataset P, we are asked to choose k points in P as the medoids. The optimal medoid set minimizes the average Euclidean distance between the points ...
Stavros Papadopoulos, Dimitris Sacharidis, Kyriako...
SODA
2008
ACM
156views Algorithms» more  SODA 2008»
14 years 11 months ago
Approximating TSP on metrics with bounded global growth
The Traveling Salesman Problem (TSP) is a canonical NP-complete problem which is known to be MAXSNP hard even on Euclidean metrics (of high dimensions) [40]. In order to circumven...
T.-H. Hubert Chan, Anupam Gupta