Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
We address the problem of unsupervised image auto-annotation with probabilistic latent space models. Unlike most previous works, which build latent space representations assuming ...
This paper proposes a visual representation named scene tunnel to archive and visualize urban scenes for Internet based virtual tour. We scan cityscapes using multiple cameras on ...
Document representation and indexing is a key problem for document analysis and processing, such as clustering, classification and retrieval. Conventionally, Latent Semantic Index...
Unconditionally secure multi-party computations in general, and broadcast in particular, are impossible if any third of the players can be actively corrupted and if no additional i...