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WEBI
2005
Springer
14 years 3 months ago
A Semi-Supervised Document Clustering Algorithm Based on EM
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...
Leonardo Rigutini, Marco Maggini
ICPPW
2002
IEEE
14 years 2 months ago
Adaptive Networks of Smart Objects
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...
Johan Bollen, Michael L. Nelson
SIGIR
2004
ACM
14 years 3 months ago
Document clustering via adaptive subspace iteration
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...
Tao Li, Sheng Ma, Mitsunori Ogihara
ICDAR
2007
IEEE
14 years 4 months ago
Energy-Based Models in Document Recognition and Computer Vision
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu...
FPGA
2008
ACM
623views FPGA» more  FPGA 2008»
13 years 11 months ago
From the bitstream to the netlist
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...
Jean-Baptiste Note, Éric Rannaud