This paper addresses the challenging problem of similarity search over widely distributed ultra-high dimensional data. Such an application is retrieval of the top-k most similar d...
The possibility of pre-compensating images in a computer display according to the visual aberrations previously assessed in an optical system (e.g., the computer user’s eye) has...
Miguel Alonso Jr., Armando Barreto, Julie A. Jacko...
Knowledge discovery systems are constrained by three main limited resources: time, memory and sample size. Sample size is traditionally the dominant limitation, but in many present...
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...