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ICIP
2005
IEEE
15 years 3 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 1 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 2 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 4 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
77
Voted
KDD
2010
ACM
287views Data Mining» more  KDD 2010»
14 years 11 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