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CAIP
2007
Springer
190views Image Analysis» more  CAIP 2007»
16 years 1 months ago
Image Segmentation Based on Height Maps
Abstract. In this paper we introduce a new method for image segmentation. It is based on a height map generated from the input image. The height map characterizes the image content...
Gabriele Peters, Jochen Kerdels
CP
2006
Springer
15 years 10 months ago
Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
COMBINATORICS
2006
137views more  COMBINATORICS 2006»
15 years 6 months ago
Three-Letter-Pattern-Avoiding Permutations and Functional Equations
We present an algorithm for finding a system of recurrence relations for the number of permutations of length n that satisfy a certain set of conditions. A rewriting of these rela...
Ghassan Firro, Toufik Mansour
DFT
2006
IEEE
203views VLSI» more  DFT 2006»
16 years 26 days ago
Self Testing SoC with Reduced Memory Requirements and Minimized Hardware Overhead
This paper describes a methodology of creating a built-in diagnostic system of a System on Chip and experimental results of the system application on the AT94K FPSLIC with cores d...
Ondrej Novák, Zdenek Plíva, Jiri Jen...
ICCV
2005
IEEE
16 years 8 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu