The major limitation in bilingual latent semantic analysis (bLSA) is the requirement of parallel training corpora. Motivated by semi-supervised learning, we propose a clusterbased...
This paper presents a multi-view articulated human motion tracking framework using particle filter with manifold learning through Gaussian process latent variable model. The dime...
We describe CSAR, a novel technique for generating cryptographically strong, accountable randomness. Using CSAR, we can generate a pseudo-random sequence and a proof that the elem...
Michael Backes, Peter Druschel, Andreas Haeberlen,...
The method based on local features has an advantage that the important local motion feature is represented as bag-of-features, but lacks the location information. Additionally, in ...
Abstract. The discovery of words by young infants involves two interrelated processes: (a) the detection of recurrent word-like acoustic patterns in the speech signal, and (b) cros...
Louis ten Bosch, Joris Driesen, Hugo Van Hamme, Lo...