The complexity of multimedia contents is significantly increasing in the current digital world.
This yields an exigent demand for developing highly effective retrieval systems to satisfy …

Object contour plays an important role in fields such as semantic segmentation and image
classification. However, the extraction of contour is a difficult task, especially when the …

We propose a novel approach for solving the perceptual grouping problem in vision. Rather
than focusing on local features and their consistencies in the image data, our approach aims …

We propose a two-class classification model for grouping. Human segmented natural
images are used as positive examples. Negative examples of grouping are constructed by …

Spectral graph theoretic methods have recently shown great promise for the problem of
image segmentation. However, due to the computational demands of these approaches …

We present an efficient spectral method for finding consistent correspondences between two
sets of features. We build the adjacency matrix M of a graph whose nodes represent the …

We propose a novel approach for solving the perceptual grouping problem in vision. Rather
than focusing on local features and their consistencies in the image data, our approach aims …

We develop a new graph-theoretic approach for pairwise data clustering which is motivated
by the analogies between the intuitive concept of a cluster and that of a dominant set of …

We report on an automated runtime anomaly detection method at the application layer of
multi-node computer systems. Although several network management systems are available …

In this paper we present a graph cuts based active contours (GCBAC) approach to object
segmentation. GCBAC approach is a combination of the iterative deformation idea of active …