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ICTAI
2009
IEEE
16 years 21 days ago
EBLearn: Open-Source Energy-Based Learning in C++
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
Pierre Sermanet, Koray Kavukcuoglu, Yann LeCun
APVIS
2003
15 years 7 months ago
Visualising Class Cohesion with Virtual Worlds
High cohesion, or module strength, indicates that a system has been well partitioned into components which have strong internal relationships. An understanding of cohesion is an i...
Neville Churcher, Warwick Irwin, Ronald D. Kriz
WWW
2008
ACM
16 years 6 months ago
Statistical analysis of the social network and discussion threads in slashdot
We analyze the social network emerging from the user comment activity on the website Slashdot. The network presents common features of traditional social networks such as a giant ...
Andreas Kaltenbrunner, Vicenç Gómez,...
ICASSP
2011
IEEE
14 years 9 months ago
On single-channel noise reduction in the time domain
In this paper, we revisit the noise-reduction problem in the time domain and present a way to decompose the ltered speech into two uncorrelated (orthogonal) components: the desire...
Jingdong Chen, Jacob Benesty, Yiteng Huang, Tomas ...
ATAL
2009
Springer
16 years 19 days ago
Graph-based methods for the analysis of large-scale multiagent systems
Multiagent systems are often characterized by complex, and sometimes unpredictable interactions amongst their autonomous components. While these systems can provide robust and sca...
Wilbur Peng, William Krueger, Alexander Grushin, P...