Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
A probabilistic power estimation technique for combinational circuits is presented. A novel set of simple waveforms is the kernel of this technique. The transition density of each...
Saeeid Tahmasbi Oskuii, Per Gunnar Kjeldsberg, Ein...
One important problem in computer vision is to provide a demographic description a person from an image. In practice, many of the state-of-the-art methods use only an analysis of ...
The paper investigates a new method to solve concatenation problems of Mandarin speech synthesis which is based on the hybrid approach of HMM-based speech synthesis and unit selec...
Service providers as we know them nowadays are the always-on “static” web service providers, that aim at Five9 availability (99.999%). Formal, or de-facto, standards, such as ...