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» Structural Learning of Activities from Sparse Datasets
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ICASSP
2010
IEEE
13 years 8 months ago
Learning sparse systems at sub-Nyquist rates: A frequency-domain approach
We propose a novel algorithm for sparse system identification in the frequency domain. Key to our result is the observation that the Fourier transform of the sparse impulse respo...
Martin McCormick, Yue M. Lu, Martin Vetterli
WACV
2005
IEEE
14 years 2 months ago
Automatic Augmentation and Meshing of Sparse 3D Scene Structure
We propose a novel method of robustly and automatically creating surface meshes from the very sparsely populated 3D point clouds typically produced by Structure from Motion algori...
Oli Cooper, Neill W. Campbell, David P. Gibson
ICML
2008
IEEE
14 years 9 months ago
Active kernel learning
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
Steven C. H. Hoi, Rong Jin
CVPR
2012
IEEE
11 years 11 months ago
Sum-product networks for modeling activities with stochastic structure
This paper addresses recognition of human activities with stochastic structure, characterized by variable spacetime arrangements of primitive actions, and conducted by a variable ...
Mohamed R. Amer, Sinisa Todorovic
WWW
2008
ACM
14 years 9 months ago
Computable social patterns from sparse sensor data
We present a computational framework to automatically discover high-order temporal social patterns from very noisy and sparse location data. We introduce the concept of social foo...
Dinh Q. Phung, Brett Adams, Svetha Venkatesh