Probabilistic data is coming as a new deluge along with the technical advances on geographical tracking, multimedia processing, sensor network and RFID. While similarity search is...
We present an approach to music identification based on weighted finite-state transducers and Gaussian mixture models, inspired by techniques used in large-vocabulary speech recogn...
The last decade has witnessed the emergence of the application-specific instruction-set processor (ASIP) as a viable platform for embedded systems. Extensible ASIPs allow the user ...
Software intellectual property (SWIP) is a critical component of increasingly complex field programmable gate arrays (FPGA)-based system-on-chip (SOC) designs. As a result, develop...
Michael A. Gora, Abhranil Maiti, Patrick Schaumont
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...