We present a novel, flexible, statistical approach to modeling music, images and text jointly. The technique is based on multi-modal mixture models and efficient computation using online EM. The learned models can be used to browse multimedia databases, to query on a multimedia database using any combination of music, images and text (lyrics and other contextual information), to annotate docume...

java is an object-oriented program that has abundant open-source libraries for application development and 3d model rendering. spatial database is the database that can efficiently store and manage geographic information data though various spatial data management techniques. this paper explores the rationale of coupling java with spatial database to develop an effective platform for future bui...

In this paper, we discuss the implementation and performance of our developed bibliographic navigator with the text mining. We categorize the different attributes and extend the mining association algorithms and in order to provide more helpful rules. By our proposed algorithm, more interesting rules are derived from relationships between several categorized attributes in bibliographic database...

In this paper, we take a real world application from a text database and present a case history. The techniques ultimately led to a discovery contradicting an accepted paradigm in seismology. Using simple, tailored, keyword extraction, we examined a text collection of earth-quake data. A discovery was made when an unusual pattern emerged from the text. We then tested a more comprehensive nu...

The modern computing applications are presently adapting to the convenient availability of huge and diverse data for making their pattern recognition methods smarter. Identification dominant emotion solely based on text generated by humans is essential human–computer interaction. This work presents a multimodal text-keystrokes dataset associated learning identification human emotions hidden in ...