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 …

Image segmentation has come a long way since the early days of computer vision, and still
remains a challenging task. Modern variations of the classical (purely bottom-up) approach …

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 …

Data clustering is one of the most fundamental techniques in exploratory data analysis. It is
widely used for determining the underlying data structure, classifying natural data and …

While density based clustering algorithms are able to detect clusters of arbitrary shapes,
their clustering results usually rely heavily on some user-specified parameters. In order to …

In this thesis, we present new schemes which leverage a constrained clustering method to
solve several computer vision tasks ranging from image retrieval, image segmentation and …

Recently, several clustering algorithms have been used to solve variety of problems from
different discipline. This dissertation aims to address different challenging tasks in computer …

Diverse facets Of the Theory of Quantum Walks on Graph are reviewed Till now. In specific,
Quantum network routing, Quantum Walk Search Algorithm, Element distinctness associated …