In this paper, an HMM-embedded unsupervised learning approach is proposed to detect the music events by grouping the similar segments of the music signal. This approach can cluste...
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
This paper examines the problem of extracting lowdimensional manifold structure given millions of highdimensional face images. Specifically, we address the computational challenge...
Recent advances in high-performance computing have pushed computational capabilities to a petaflop (a thousand trillion operations per second) in a single computing cluster. This ...
InSatDb presents an interactive interface to query information regarding microsatellite characteristics per se of five fully sequenced insect genomes (fruitfly, honeybee, malarial...
Sunil Archak, Eshwar Meduri, P. Sravana Kumar, Jav...