We present a novel method for searching for unknown music. RhythMiXearch is a music search system we developed that can accept two music inputs and mix those inputs to search for music that could reasonably be a result of the mixture. This approach expands the ability of Query-by-Example and allows greater flexibility for users in finding unknown music. Each music piece stored by our system is ...

We present a novel framework for intelligent search and retrieval by image content composition. Very different from the existing Query-by-Example paradigm, logical queries are expressed using categories of similar regions without any starting example region. The set of region category representatives constitutes the “photometric region thesaurus” of the image database. Logical composition of re...

In order to boost the translation quality of EBMT based on a small-sized bilingual corpus, we use an out-of-domain bilingual corpus and, in addition, the language model of an indomain monolingual corpus. We conducted experiments with an EBMT system. The two evaluation measures of the BLEU score and the NIST score demonstrated the effect of using an out-of-domain bilingual corpus and the possibi...

We present a visualization oriented data mining tool designed for biomedical images with focus objects. The main functions of the tool are accessible via two interfaces: Query by Example and Query by Features. Each interface has visual feedback functions associated with it. The query-by-example interface allows the user to do similarity search using multiple image features. The visual feedback ...

This paper describes an effective unsupervised method for query-by-example speaker retrieval. We suppose that only one speaker is in each audio file or in audio segment. The audio data are modeled using a common universal codebook. The codebook is based on bag-of-frames (BOF). The features corresponding to the audio frames are extracted from all audio files. These features are grouped into clus...