Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
The thresholded t-map produced by the General Linear Model (GLM) gives an effective summary of activation patterns in functional brain images and is widely used for feature selecti...
We compare two transform-based indexing methods for retrieval of 3D objects. We apply 3D Discrete Fourier Transform (DFT) and 3D Radial Cosine Transform (RCT) to the voxelized dat...
The efficacy of expert systems often depends on the accuracy and completeness of the problem specification negotiated with the user. Therefore, efficient user interfaces are needed...
We propose a novel approach to shape-based image retrieval that builds upon a similarity criterion which is based on the average point set distance. Compared to traditional techni...