activity
20082020
most citedAdaptive Evolutionary Clustering

135 citations · 250 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2020

Beyond Weak Perspective for Monocular 3D Human Pose Estimation

Imry Kissos, Lior Fritz, Matan Goldman +3

We consider the task of 3D joints location and orientation prediction from a monocular video with the skinned multi-person linear (SMPL) model. We first infer 2D joints locations w…

cs.LG2018

Generative Low-Shot Network Expansion

Adi Hayat, Mark Kliger, Shachar Fleishman +1

Conventional deep learning classifiers are static in the sense that they are trained on a predefined set of classes and learning to classify a novel class typically requires re-tra…

cs.CV2018★ 35 cited

Novelty Detection with GAN

Mark Kliger, Shachar Fleishman

The ability of a classifier to recognize unknown inputs is important for many classification-based systems. We discuss the problem of simultaneous classification and novelty detect…

cs.SI2013★ 12 cited

Revealing social networks of spammers through spectral clustering

Kevin S. Xu, Mark Kliger, Yilun Chen +2

To date, most studies on spam have focused only on the spamming phase of the spam cycle and have ignored the harvesting phase, which consists of the mass acquisition of email addre…

cs.SI2012★ 32 cited

A Regularized Graph Layout Framework for Dynamic Network Visualization

Kevin S. Xu, Mark Kliger, Alfred O. Hero

Many real-world networks, including social and information networks, are dynamic structures that evolve over time. Such dynamic networks are typically visualized using a sequence o…

cs.LG2011★ 135 cited

Adaptive Evolutionary Clustering

Kevin S. Xu, Mark Kliger, Alfred O. Hero

In many practical applications of clustering, the objects to be clustered evolve over time, and a clustering result is desired at each time step. In such applications, evolutionary…