We have witnessed great interest and a wealth of promise in content-based image retrieval
as an emerging technology. While the last decade laid foundation to such promise, it also …

Can we detect low dimensional structure in high dimensional data sets of images? In this
paper, we propose an algorithm for unsupervised learning of image manifolds by …

In this paper, we propose a new image clustering algorithm, referred to as clustering using
local discriminant models and global integration (LDMGI). To deal with the data points …

We consider the problem of clustering Web image search results. Generally, the image
search results returned by an image search engine contain multiple topics. Organizing the …

Clustering, as one of the most classical research problems in pattern recognition and data
mining, has been widely explored and applied to various applications. Due to the rapid …

We propose a novel and generic video/image reranking algorithm, IB reranking, which
reorders results from text-only searches by discovering the salient visual patterns of relevant …

In this paper we propose an efficient algorithm for reducing a large mixture of Gaussians into
a smaller mixture while still preserv-ing the component structure of the original model; this is …

Image clustering, an important technology for image processing, has been actively
researched for a long period of time. Especially in recent years, with the explosive growth of …

Spectral clustering has been playing a vital role in various research areas. Most traditional
spectral clustering algorithms comprise two independent stages (eg, first learning …

In many classification problems, the predictions can be enhanced by fusing information from
different data views. In particular, when the information from different views complement …