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PAMI
2010
205views more  PAMI 2010»
14 years 10 months ago
Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
Long Zhu, Yuanhao Chen, Alan L. Yuille
NIPS
2008
15 years 1 months ago
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
Identification and comparison of nonlinear dynamical system models using noisy and sparse experimental data is a vital task in many fields, however current methods are computation...
Ben Calderhead, Mark Girolami, Neil D. Lawrence
CORR
2011
Springer
193views Education» more  CORR 2011»
14 years 3 months ago
Gigapixel Binary Sensing: Image Acquisition Using Oversampled One-Bit Poisson Statistics
We study a new gigapixel image sensor that is reminiscent of traditional photographic film. Each pixel in the sensor has a binary response, giving only a one-bit quantized measur...
Feng Yang, Yue M. Lu, Luciano Sbaiz, Martin Vetter...
ICCV
2001
IEEE
16 years 1 months ago
Modelling Faces Dynamically across Views and Over Time
A comprehensive novel multi-view dynamic face model is presented in this paper to address two challenging problems in face recognition and facial analysis: modelling faces with la...
Yongmin Li, Shaogang Gong, Heather M. Liddell
86
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TSP
2010
14 years 6 months ago
LS-CS-residual (LS-CS): compressive sensing on least squares residual
We consider the problem of recursively and causally reconstructing time sequences of sparse signals (with unknown and time-varying sparsity patterns) from a limited number of noisy...
Namrata Vaswani