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» Entropy Numbers of Linear Function Classes
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TIP
2002
179views more  TIP 2002»
13 years 7 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
JCT
2006
100views more  JCT 2006»
13 years 7 months ago
Enumeration of unrooted maps of a given genus
Let Ng(f ) denote the number of rooted maps of genus g having f edges. An exact formula for Ng(f ) is known for g = 0 (Tutte, 1963), g = 1 (Arques, 1987), g = 2,3 (Bender and Canf...
Alexander Mednykh, Roman Nedela
MFCS
2007
Springer
14 years 1 months ago
Evolvability
A framework for analyzing the computational capabilities and the limitations of the evolutionary process of random change guided by selection was recently introduced by Valiant [V...
Leslie G. Valiant
IPL
2000
111views more  IPL 2000»
13 years 7 months ago
On the performance of the first-fit coloring algorithm on permutation graphs
In this paper we study the performance of a particular on-line coloring algorithm, the First-Fit or Greedy algorithm, on a class of perfect graphs namely the permutation graphs. W...
Stavros D. Nikolopoulos, Charis Papadopoulos
FOCS
2004
IEEE
13 years 11 months ago
Tolls for Heterogeneous Selfish Users in Multicommodity Networks and Generalized Congestion Games
We prove the existence of tolls to induce multicommodity, heterogeneous network users that independently choose routes minimizing their own linear function of tolls versus latency...
Lisa Fleischer, Kamal Jain, Mohammad Mahdian