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» Learning from compressed observations
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TIP
2011
150views more  TIP 2011»
14 years 5 months ago
Quality Assessment of Deblocked Images
—We study the efficiency of deblocking algorithms for improving visual signals degraded by blocking artifacts from compression. Rather than using only the perceptually questiona...
Changhoon Yim, Alan Conrad Bovik
TSP
2010
14 years 4 months ago
Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
Avishy Carmi, Pini Gurfil, Dimitri Kanevsky
ICML
2007
IEEE
15 years 11 months ago
Dirichlet aggregation: unsupervised learning towards an optimal metric for proportional data
Proportional data (normalized histograms) have been frequently occurring in various areas, and they could be mathematically abstracted as points residing in a geometric simplex. A...
Hua-Yan Wang, Hongbin Zha, Hong Qin
FUIN
2006
107views more  FUIN 2006»
14 years 10 months ago
Learning Sunspot Classification
Sunspots are the subject of interest to many astronomers and solar physicists. Sunspot observation, analysis and classification form an important part of furthering the knowledge a...
Trung Thanh Nguyen, Claire P. Willis, Derek J. Pad...
CVPR
2004
IEEE
16 years 2 days ago
Value Directed Learning of Gestures and Facial Displays
This paper presents a method for learning decision theoretic models of facial expressions and gestures from video data. We consider that the meaning of a facial display or gesture...
Jesse Hoey, James J. Little