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ICASSP
2011
IEEE
8 years 3 months ago
A new data hiding method using angle quantization index modulation in gradient domain
A robust data hiding scheme that embeds the watermark bits by quantizing the gradient directions of an image is proposed. By embedding the watermark in the angle, the watermark be...
Ehsan Nezhadarya, Z. Jane Wang, Rabab K. Ward
ICASSP
2011
IEEE
8 years 3 months ago
Natural gradient approach in orthogonal matrix optimization using cayley transform
Matrix optimization with orthogonal constraints appear in a variety of application fields including signal and image processing. Several researchers have developed algorithms for...
Gen Hori
ICASSP
2011
IEEE
8 years 3 months ago
High dynamic range (HDR) imaging by gradient domain fusion
This paper proposes a new HDR imaging method in the gradient domain based on the fusion of two images with different exposure. We first formulate an energy function for the binar...
Jung Gap Kuk, Nam Ik Cho, Sang Uk Lee
CVPR
2011
IEEE
8 years 3 months ago
Aggregating Gradient Distributions into Intensity Orders: A Novel Local Image Descriptor
A novel local image descriptor is proposed in this paper, which combines intensity orders and gradient distributions in multiple support regions. The novelty lies in three aspects...
Bin Fan, Fuchao Wu, Zhanyi Hu
TMI
2010
123views more  TMI 2010»
8 years 6 months ago
Optimal Experimental Design for Diffusion Kurtosis Imaging
Diffusion Kurtosis Imaging (DKI) is a new magnetic resonance imaging model that describes the non-Gaussian diffusion behavior in tissues. It has recently been shown that DKI param...
Dirk H. J. Poot, Arnold Jan den Dekker, Eric Achte...
JMLR
2010
132views more  JMLR 2010»
8 years 6 months ago
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence
The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean...
Qiang Wu, Justin Guinney, Mauro Maggioni, Sayan Mu...
CDC
2010
IEEE
196views Control Systems» more  CDC 2010»
8 years 6 months ago
Convergence and convergence rate of stochastic gradient search in the case of multiple and non-isolated extrema
The asymptotic behavior of stochastic gradient algorithms is studied. Relying on some results of differential geometry (Lojasiewicz gradient inequality), the almost sure pointconve...
Vladislav B. Tadic
EMNLP
2009
8 years 9 months ago
First- and Second-Order Expectation Semirings with Applications to Minimum-Risk Training on Translation Forests
Many statistical translation models can be regarded as weighted logical deduction. Under this paradigm, we use weights from the expectation semiring (Eisner, 2002), to compute fir...
Zhifei Li, Jason Eisner
ICMLA
2010
8 years 9 months ago
Multimodal Parameter-exploring Policy Gradients
Abstract-- Policy Gradients with Parameter-based Exploration (PGPE) is a novel model-free reinforcement learning method that alleviates the problem of high-variance gradient estima...
Frank Sehnke, Alex Graves, Christian Osendorfer, J...
ICIP
2010
IEEE
8 years 9 months ago
Multimodal template matching based on gradient and mutual information using scale-space
This paper presents the combined use of gradient and mutual information for infrared and intensity templates matching. We propose to joint: (i) feature matching in a multiresoluti...
Fernando Barrera, Felipe Lumbreras, Angel Domingo ...
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