In this paper, a unified three-layer hierarchical approach for solving tracking problems in
multiple non-overlapping cameras is proposed. Given a video and a set of detections …

In this paper, a unified three-layer hierarchical approach for solving tracking problem in a
multiple non-overlapping cameras setting is proposed. Given a video and a set of detections …

Learning new global relations based on an initial affinity of the database objects has shown
significant improvements in similarity retrievals. Locally constrained diffusion process is one …

We present a unified approach for simultaneous clustering and outlier detection in data. We
utilize some properties of a family of quadratic optimization problems related to dominant …

In certain severe mental diseases, like schizophrenia, structural alterations of the brain are
detectable by magnetic resonance imaging (MRI). In this work, we try to automatically …

In certain severe mental diseases, like schizophrenia, structural alterations of the brain are
detectable by magnetic resonance imaging (MRI). In this work, we try to automatically …

Abstract Machine learning (ML) based analysis of neuroimages in neuropsychiatry context
are advancing the understanding of neurobiological profiles and the pathological bases of …

Semi-supervised learning is a popular class of techniques to learn from labeled and
unlabeled data. The paper proposes an application of a recently proposed approach of …

Many problems in computer vision can be formulated as a clustering problem, a problem
that aims to organize a collection of data objects into groups or clusters, such that objects …

In this paper, a unified three-layer hierarchical approach for solving tracking problems in
multiple non-overlapping cameras is proposed. Given a video and a set of detections …