ā This paper describes a robotic system that learns visual models of symmetric objects autonomously. Our robot learns by physically interacting with an object using its end effec...
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eļ¬...
AbstractāWe discuss issues related to the design of a multitouch gesture sensing environment, allowing the user to execute both independent and coordinated gestures. We discuss d...
In this paper we investigate a discriminative approach to feature weighting for topic identiļ¬cation using minimum classiļ¬cation error (MCE) training. Our approach learns featu...
In this paper, we propose a novel approach to feature compensation performed in the cepstral domain. We apply the linear approximation method in the cepstral domain to simplify th...
Woohyung Lim, Chang Woo Han, Jong Won Shin, Nam So...