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ICIP
2005
IEEE
15 years 10 months ago
Multi-dimensional infinitely divisible cascades to model the statistics of natural images
Infinitely divisible cascades (IDC) were first introduced in one dimension to provide multifractal time series to model the so-called intermittency phenomenon in hydrodynamical ...
Pierre Chainais
PKDD
1999
Springer
101views Data Mining» more  PKDD 1999»
15 years 8 months ago
Rule Induction in Cascade Model Based on Sum of Squares Decomposition
A cascade model is a rule induction methodology using levelwise expansion of an itemset lattice, where the explanatory power of a rule set and its constituent rules are quantitativ...
Takashi Okada
HICSS
2002
IEEE
84views Biometrics» more  HICSS 2002»
15 years 9 months ago
Examining Criticality of Blackouts in Power System Models with Cascading Events
As power system loading increases, larger blackouts due to cascading outages become more likely. We investigate a critical loading at which the average size of blackouts increases...
Ian Dobson, Jie Chen, Jim Thorp, Benjamin A. Carre...
FGR
2008
IEEE
175views Biometrics» more  FGR 2008»
15 years 11 months ago
Real-time 3D pointing gesture recognition in mobile space
In this paper, we present a real-time 3D pointing gesture recognition algorithm for natural human-robot interaction (HRI). The recognition errors in previous pointing gesture reco...
Chang-Beom Park, Myung-Cheol Roh, Seong-Whan Lee
131
Voted
KDD
2010
ACM
287views Data Mining» more  KDD 2010»
15 years 6 months ago
Designing efficient cascaded classifiers: tradeoff between accuracy and cost
We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft cascades. In particular, inst...
Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu