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FOCI
2007
IEEE
13 years 11 months ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe
ECSQARU
2009
Springer
13 years 11 months ago
Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks
To explore the Perturb and Combine idea for estimating probability densities, we study mixtures of tree structured Markov networks derived by bagging combined with the Chow and Liu...
Sourour Ammar, Philippe Leray, Boris Defourny, Lou...
CP
2006
Springer
13 years 9 months ago
Boosting Open CSPs
In previous work, a new approach called Open CSP (OCSP) was defined as a way of integrate information gathering and problem solving. Instead of collecting all variable values befor...
Santiago Macho González, Carlos Ansó...
PODC
1995
ACM
13 years 8 months ago
Issues in Distributed Control for ATM Networks
Asynchronous Transfer Mode (ATM) network technology is expected to become a central part of the emerging global information infrastructure. ATM networks introduce a number of feat...
Jonathan S. Turner
CVPR
2011
IEEE
13 years 2 months ago
Globally-Optimal Greedy Algorithms for Tracking a Variable Number of Objects
We analyze the computational problem of multi-object tracking in video sequences. We formulate the problem using a cost function that requires estimating the number of tracks, as ...
Hamed Pirsiavash, Deva Ramanan, Charless Fowlkes