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» Complexity Dimensions and Learnability
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SODA
1992
ACM
140views Algorithms» more  SODA 1992»
15 years 1 months ago
Separation and Approximation of Polyhedral Objects
Given a family of disjoint polygons P1, P2, : : :, Pk in the plane, and an integer parameter m, it is NP-complete to decide if the Pi's can be pairwise separated by a polygon...
Joseph S. B. Mitchell, Subhash Suri
111
Voted
VLSISP
2008
104views more  VLSISP 2008»
15 years 17 days ago
Guidance of Loop Ordering for Reduced Memory Usage in Signal Processing Applications
Data dominated signal processing applications are typically described using large and multi-dimensional arrays and loop nests. The order of production and consumption of array ele...
Per Gunnar Kjeldsberg, Francky Catthoor, Sven Verd...
96
Voted
VL
1993
IEEE
147views Visual Languages» more  VL 1993»
15 years 4 months ago
Fractal Approaches for Visualizing Huge Hierarchies
This paper describes fractal approaches to the problems which associate with visualizing huge hierarchies. The geometrical characteristic of a fractal, selfsimilarity, allows user...
Hideki Koike, Hirotaka Yoshihara
99
Voted
COMPGEOM
2003
ACM
15 years 6 months ago
Curve-sensitive cuttings
We introduce (1/r)-cuttings for collections of surfaces in 3-space that are sensitive to an additional collection of curves. Specifically, let S be a set of n surfaces in R3 of c...
Vladlen Koltun, Micha Sharir
84
Voted
ICML
2007
IEEE
16 years 1 months ago
Sample compression bounds for decision trees
We propose a formulation of the Decision Tree learning algorithm in the Compression settings and derive tight generalization error bounds. In particular, we propose Sample Compres...
Mohak Shah