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WEBI
2005
Springer
15 years 8 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
95
Voted
ICPPW
2002
IEEE
15 years 7 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
15 years 8 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
130
Voted
ICDAR
2007
IEEE
15 years 8 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»
15 years 4 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