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» On sparse signal representations
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TVCG
2008
136views more  TVCG 2008»
14 years 9 months ago
Hierarchical Tensor Approximation of Multi-Dimensional Visual Data
Abstract-- Visual data comprise of multi-scale and inhomogeneous signals. In this paper, we exploit these characteristics and develop a compact data representation technique based ...
Qing Wu, Tian Xia, Chun Chen, Hsueh-Yi Sean Lin, H...
NN
2007
Springer
112views Neural Networks» more  NN 2007»
14 years 9 months ago
An augmented CRTRL for complex-valued recurrent neural networks
Real world processes with an “intensity” and “direction” component can be made complex by convenience of representation (vector fields, radar, sonar), and their processin...
Su Lee Goh, Danilo P. Mandic
SIAMIS
2010
114views more  SIAMIS 2010»
14 years 8 months ago
Improved Total Variation-Type Regularization Using Higher Order Edge Detectors
We present a novel deconvolution approach to accurately restore piecewise smooth signals from blurred data. The first stage uses Higher Order Total Variation restorations to obtai...
Wolfgang Stefan, Rosemary A. Renaut, Anne Gelb
TMM
2010
224views Management» more  TMM 2010»
14 years 4 months ago
A 3-D Audio-Visual Corpus of Affective Communication
Communication between humans deeply relies on the capability of expressing and recognizing feelings. For this reason, research on human-machine interaction needs to focus on the re...
Gabriele Fanelli, Jürgen Gall, Harald Romsdor...
ICASSP
2011
IEEE
14 years 1 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur