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» Metric and Kernel Learning Using a Linear Transformation
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ICCV
2009
IEEE
14 years 11 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
VLSID
2009
IEEE
108views VLSI» more  VLSID 2009»
16 years 2 months ago
Metric Based Multi-Timescale Control for Reducing Power in Embedded Systems
Abstract--Digital control for embedded systems often requires low-power, hard real-time computation to satisfy high control-loop bandwidth, low latency, and low-power requirements....
Forrest Brewer, João Pedro Hespanha, Nitin ...
NAACL
2010
14 years 11 months ago
Learning Dense Models of Query Similarity from User Click Logs
The goal of this work is to integrate query similarity metrics as features into a dense model that can be trained on large amounts of query log data, in order to rank query rewrit...
Fabio De Bona, Stefan Riezler, Keith Hall, Massimi...
AVSS
2008
IEEE
15 years 8 months ago
A Fast Linear Registration Framework for Multi-camera GIS Coordination
We propose a novel registration framework to map the field-of-coverage of pan-tilt cameras to a GIS (Geographic Information System) planar coordinate system. The camera’s fiel...
Karthik Sankaranarayanan, James W. Davis
IJCV
2007
363views more  IJCV 2007»
15 years 1 months ago
Image Analysis and Reconstruction using a Wavelet Transform Constructed from a Reducible Representation of the Euclidean Motion
Abstract. Inspired by the early visual system of many mammalians we consider the construction of-and reconstruction from- an orientation score Uf : R2 ×S1 → C as a local orienta...
Remco Duits, Michael Felsberg, Gösta H. Granl...