A major problem in the field of content-based image retrieval is the lack of a common performance measure which allows the researcher to compare different image retrieval systems ...
Given a collection of sets of 2-D views of 3-D objects and a similarity measure between them, we present a method for summarizing the sets using a small subset called a bounded ca...
Ali Shokoufandeh, Jeff Abrahamson, M. Fatih Demirc...
We present a new approach for shape metamorphism, which is a process of gradually changing a source shape (known) through intermediate shapes (unknown) into a target shape (known)...
Bahram Parvin, Ge Cong, George Bebis, Mehmet Esser
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
A technique for extracting intrinsic images, including the reflectance and illumination images, from a single color image is presented. The technique first convolves the input ima...
Jung Ming Wang, Robert R. Bailey, Sei-Wang Chen, S...
We present a method of extending the dynamic range of an picture with two different exposure images. Since pictures under different exposure times show different scene dynamic ran...
How to determine the number of clusters is an intractable problem in clustering analysis. In this paper, we propose a new learning paradigm named Maximum Weighted Likelihood (MwL)...
This study addresses the problem of finding correspondences for wide baseline stereo. Texture has traditionally been utilised as a single-image cue for 3D shape reconstruction (sh...