Results 101 to 110 of about 7,842 (187)

Dangerous Times, Deliberate Acts: A Talk on Violence, Agency and Some Possibilities for Response

Journal of Advanced Nursing, Volume 82, Issue S1, Page S10-S14, March 2026.
Colleen Varcoe
wiley   +1 more source

Nonlocal total variation based on symmetric Kullback-Leibler divergence for the ultrasound image despeckling

BMC Medical Imaging, 2017
Background Ultrasound imaging is safer than other imaging modalities, because it is noninvasive and nonradiative. Speckle noise degrades the quality of ultrasound images and has negative effects on visual perception and diagnostic operations.
Shujun Liang, Feng Yang, Tiexiang Wen, Zhewei Yao, Qinghua Huang, Chengke Ye   +5 more
doaj   +1 more source

Improving clustering using Bregman divergences [PDF]

, 2014
We review Bregman divergences and use them in clustering algorithms which we have previously developed to overcome one of the difficulties of the standard k-means algorithm which is its sensitivity to initial conditions which leads to finding sub-optimal local minima. We show empirical results on artificial data sets.
Ashour, Wesam M., Fyfe, Colin
openaire  

Quantization and clustering with Bregman divergences

Journal of Multivariate Analysis, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Transfer learning for face recognition using fingerprint biometrics

Journal of King Saud University: Engineering Sciences
Biometrics is a set of highly automated methods used for recognition purposes including analyzing physical traits of people and statistically measuring them. In forensic applications, fingerprint and face images are mostly used for recognition.
Rupali Kute, Vibha Vyas, Alwin Anuse
doaj   +1 more source

Total Jensen divergences: Definition, Properties and k-Means++ Clustering

, 2013
We present a novel class of divergences induced by a smooth convex function called total Jensen divergences. Those total Jensen divergences are invariant by construction to rotations, a feature yielding regularization of ordinary Jensen divergences by a ...
Nielsen, Frank, Nock, Richard
core  

Convex Relaxations of Bregman Divergence Clustering

, 2013
Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2013)
Cheng, Hao, Zhang, Xinhua, Schuurmans, Dale   +2 more
openaire   +2 more sources

Bregman Divergences and Triangle Inequality [PDF]

Proceedings of the 2013 SIAM International Conference on Data Mining, 2013
Sreangsu Acharyya, Arindam Banerjee, Daniel Boley   +2 more
openaire   +1 more source

Uniqueness of the Canonical Reciprocal Cost

Mathematics
We study a rigidity problem for functions F:R>0→R≥0 that penalize deviation of a positive ratio from equilibrium x=1. Assuming (i) a d’Alembert-type composition law on R>0, and (ii) a single quadratic calibration at the identity (in logarithmic ...
Jonathan Washburn, Milan Zlatanović
doaj   +1 more source

Curved Representational Bregman Divergences and Their Applications

By analogy to curved exponential families in statistics, we define curved Bregman divergences as Bregman divergences restricted to nonlinear parameter subspaces. We show that the barycenter of a finite weighted set of parameters under a curved Bregman divergence amounts to the right Bregman projection onto the nonlinear subspace of the barycenter with ...
openaire   +2 more sources