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SLSFS
2005
Springer
15 years 10 months ago
Random Projection, Margins, Kernels, and Feature-Selection
Random projection is a simple technique that has had a number of applications in algorithm design. In the context of machine learning, it can provide insight into questions such as...
Avrim Blum
GECCO
2004
Springer
127views Optimization» more  GECCO 2004»
15 years 10 months ago
Improved Niching and Encoding Strategies for Clustering Noisy Data Sets
Clustering is crucial to many applications in pattern recognition, data mining, and machine learning. Evolutionary techniques have been used with success in clustering, but most su...
Olfa Nasraoui, Elizabeth Leon
144
Voted
SOFSEM
1998
Springer
15 years 9 months ago
The Reconstruction of Convex Polyominoes from Horizontal and Vertical Projections
Abstract. The problem of reconstructing a discrete set from its horizontal and vertical projections (RSP) is of primary importance in many different problems for example pattern re...
Maciej Gebala
SSPR
2000
Springer
15 years 8 months ago
Lossless Compression of Surfaces Described as Points
In many applications, objects are represented by a collection of unorganized points that scan the surface of the object. In such cases, an efficient way of storing this information...
Juan Ramón Rico-Juan, Jorge Calera-Rubio, R...
114
Voted
CIARP
2008
Springer
15 years 7 months ago
Calculating the Number of Tunnels
This report1 considers 2-regions of grid cubes and proposes an algorithm for calculating the number of tunnels of such a region. The graph-theoretical algorithm proceeds layer by l...
Fajie Li, Reinhard Klette