activity
20132026
most citedDeep Learning for Whole Slide Image Analysis: An Overview

342 citations · 787 across the 44 of their papers we have counts for

collaborators
Showing 2014Show all

8 papers · 1 filter

cs.LG2014

Sample-targeted clinical trial adaptation

Ognjen Arandjelovic

Clinical trial adaptation refers to any adjustment of the trial protocol after the onset of the trial. The main goal is to make the process of introducing new medical interventions…

cs.DS2014

Two maximum entropy based algorithms for running quantile estimation in non-stationary data streams

Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh

The need to estimate a particular quantile of a distribution is an important problem which frequently arises in many computer vision and signal processing applications. For example…

cs.DS2014★ 3 cited

Stream quantiles via maximal entropy histograms

Ognjen Arandjelovic, Ducson Pham, Svetha Venkatesh

We address the problem of estimating the running quantile of a data stream when the memory for storing observations is limited. We (i) highlight the limitations of approaches previ…

cs.DL2014

Fairer citation-based metrics

Ognjen Arandjelovic

I describe a simple modification which can be applied to any citation count-based index (e.g. Hirsch's h-index) quantifying a researcher's publication output. The key idea behind t…

cs.CV2014

A unified framework for thermal face recognition

Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada +1

The reduction of the cost of infrared (IR) cameras in recent years has made IR imaging a highly viable modality for face recognition in practice. A particularly attractive advantag…

cs.CV2014

A framework for improving the performance of verification algorithms with a low false positive rate requirement and limited training data

Ognjen Arandjelovic

In this paper we address the problem of matching patterns in the so-called verification setting in which a novel, query pattern is verified against a single training pattern: the d…

cs.CV2014

Hallucinating optimal high-dimensional subspaces

Ognjen Arandjelovic

Linear subspace representations of appearance variation are pervasive in computer vision. This paper addresses the problem of robustly matching such subspaces (computing the simila…

cs.CV2014★ 2 cited

Infrared face recognition: a comprehensive review of methodologies and databases

Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada +1

Automatic face recognition is an area with immense practical potential which includes a wide range of commercial and law enforcement applications. Hence it is unsurprising that it…