Document clustering is a very hard task in Automatic Text Processing since it requires to extract regular patterns from a document collection without a priori knowledge on the cat...
We propose the implementation of a distributed system for DL storage and retrieval which relies on two earlier developed technologies: buckets and document linking based on user r...
Document clustering has long been an important problem in information retrieval. In this paper, we present a new clustering algorithm ASI1, which uses explicitly modeling of the s...
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
We present an in-depth analysis of the Xilinx bitstream format. The information gathered in this paper allows bitstream compilation and decompilation. While not actually compromis...