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ICCV
2009
IEEE
13 years 5 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
TVCG
2008
144views more  TVCG 2008»
13 years 7 months ago
Spherical Piecewise Constant Basis Functions for All-Frequency Precomputed Radiance Transfer
This paper presents a novel basis function, called spherical piecewise constant basis function (SPCBF), for precomputed radiance transfer. SPCBFs have several desirable properties:...
Kun Xu, Yun-Tao Jia, Hongbo Fu, Shi-Min Hu, Chiew-...
SMI
2007
IEEE
208views Image Analysis» more  SMI 2007»
14 years 2 months ago
A Partition-of-Unity Based Algorithm for Implicit Surface Reconstruction Using Belief Propagation
In this paper, we propose a new algorithm for the fundamental problem of reconstructing surfaces from a large set of unorganized 3D data points. The local shapes of the surface ar...
Yi-Ling Chen, Shang-Hong Lai
TWC
2010
13 years 2 months ago
Distributed Node Selection for Sequential Estimation over Noisy Communication Channels
This paper proposes a framework for distributed sequential parameter estimation in wireless sensor networks. In the proposed scheme, the estimator is updated sequentially at the c...
Thakshila Wimalajeewa, Sudharman K. Jayaweera
JMLR
2008
159views more  JMLR 2008»
13 years 7 months ago
Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs), choosing sensor locations is a fundamental task. There are several common strategies to ...
Andreas Krause, Ajit Paul Singh, Carlos Guestrin