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ICPR
2008
IEEE
15 years 11 months ago
On-line boosted cascade for object detection
On-line boosting is a recent advancement in the field of machine learning that has opened a new spectrum of possibilities in many diverse fields. With respect to a static strong...
Ingrid Visentini, Lauro Snidaro, Gian Luca Foresti
112
Voted
CORR
2006
Springer
96views Education» more  CORR 2006»
15 years 5 months ago
Metric entropy in competitive on-line prediction
Competitive on-line prediction (also known as universal prediction of individual sequences) is a strand of learning theory avoiding making any stochastic assumptions about the way...
Vladimir Vovk
ICML
2008
IEEE
16 years 5 months ago
The projectron: a bounded kernel-based Perceptron
We present a discriminative online algorithm with a bounded memory growth, which is based on the kernel-based Perceptron. Generally, the required memory of the kernelbased Percept...
Francesco Orabona, Joseph Keshet, Barbara Caputo
131
Voted
ITICSE
2003
ACM
15 years 10 months ago
Observations from using two modes of teaching undergraduate computer architecture
The authors present observations from using two modes of teaching undergraduate computer architecture. Two sections were taught differently: one section was taught using a traditi...
Benjoe A. Juliano, Chi-Hui Chen, Elena Kroumova
ICML
2010
IEEE
15 years 6 months ago
Gaussian Process Change Point Models
We combine Bayesian online change point detection with Gaussian processes to create a nonparametric time series model which can handle change points. The model can be used to loca...
Yunus Saatci, Ryan Turner, Carl Edward Rasmussen