Relevance feedback is a powerful technique for content-based image retrieval. Many parameter estimation approaches have been proposed for relevance feedback. However, most of them ...
: We present a taxonomy of task by information structure for voice interfaces to web pages in an analogous effort to Shneiderman’s taxonomy for information visualization. Our goa...
Many machine-learning algorithms learn rules of behavior from individual end users, such as taskoriented desktop organizers and handwriting recognizers. These rules form a generat...
This tutorial does more than simply explain hashing and collision resolution. It lets you try out hash functions and collision resolution methods for yourself so that you can reall...
— This study improves SOM with False-Neighbor degree between neurons (FN-SOM) which solves some problems of the original FN-SOM. The improved FN-SOM changes the neighborhood rela...