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ICASSP
2011
IEEE
13 years 2 months ago
Fully non-local super-resolution via spectral hashing
Super-resolution is the task of creating an high resolution image from a low resolution input sequence. To overcome the difficulties of fine image registration, several methods ...
Emmanuel d'Angelo, Pierre Vandergheynst
JMLR
2010
147views more  JMLR 2010»
13 years 5 months ago
Spectral Regularization Algorithms for Learning Large Incomplete Matrices
We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we...
Rahul Mazumder, Trevor Hastie, Robert Tibshirani
SIBGRAPI
2005
IEEE
14 years 4 months ago
Background Subtraction and Shadow Detection in Grayscale Video Sequences
Tracking moving objects in video sequence is an important problem in computer vision, with applications several fields, such as video surveillance and target tracking. Most techn...
Julio Cezar Silveira Jacques Jr., Cláudio R...
SIBGRAPI
2008
IEEE
14 years 5 months ago
Crop Type Recognition Based on Hidden Markov Models of Plant Phenology
This work introduces a Hidden Markov Model (HMM) based technique to classify agricultural crops. The method recognizes different crops by analyzing their spectral profiles over a ...
P. B. C. Leite, Raul Queiroz Feitosa, A. R. Formag...
BMVC
2010
13 years 9 months ago
Histogram of Body Poses and Spectral Regression Discriminant Analysis for Human Action Categorization
This paper explores a recently proposed and rarely reported subspace learning method, Spectral Regression Discriminant Analysis (SRDA) [1, 2], on silhouette based human action rec...
Ling Shao, Xiuli Chen