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ICCV
2009
IEEE
15 years 4 months ago
Bayesian Poisson regression for crowd counting
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
Antoni B. Chan, Nuno Vasconcelos
MA
2010
Springer
85views Communications» more  MA 2010»
15 years 1 months ago
Tail dependence functions and vine copulas
Tail dependence and conditional tail dependence functions describe, respectively, the tail probabilities and conditional tail probabilities of a copula at various relative scales....
Harry Joe, Haijun Li, Aristidis K. Nikoloulopoulos
CHI
2008
ACM
16 years 6 months ago
Investigating statistical machine learning as a tool for software development
As statistical machine learning algorithms and techniques continue to mature, many researchers and developers see statistical machine learning not only as a topic of expert study,...
Kayur Patel, James Fogarty, James A. Landay, Bever...
COCO
2010
Springer
149views Algorithms» more  COCO 2010»
15 years 8 months ago
Trade-Off Lower Bounds for Stack Machines
—A space bounded Stack Machine is a regular Turing Machine with a read-only input tape, several space bounded read-write work tapes, and an unbounded stack. Stack Machines with a...
Matei David, Periklis A. Papakonstantinou
LISP
2007
74views more  LISP 2007»
15 years 6 months ago
Improving the lazy Krivine machine
Krivine presents the K machine, which produces weak head normal form results. Sestoft introduces several call-by-need variants of the K machine that implement result sharing via pu...
Daniel P. Friedman, Abdulaziz Ghuloum, Jeremy G. S...