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» Object correspondence as a machine learning problem
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ML
2006
ACM
14 years 11 months ago
Universal parameter optimisation in games based on SPSA
Most game programs have a large number of parameters that are crucial for their performance. While tuning these parameters by hand is rather difficult, efficient and easy to use ge...
Levente Kocsis, Csaba Szepesvári
ICPR
2006
IEEE
16 years 22 days ago
Image Categorization Using Local Probabilistic Descriptors
Image categorization involves the well known difficulties with different visual appearances of a single object, but introduces also the problem of within-category variation. This ...
Dorian Suc, Jasna Maver, Katarina Mele
ISBI
2008
IEEE
16 years 10 days ago
Phase contrast image segmentation by weak watershed transform assembly
We present here a method giving a robust segmentation for in vitro cells observed under standard phase-contrast microscopy. We tackle the problem using the watershed transform. Wa...
Olivier Debeir, Ivan Adanja, Nadine Warzée,...
AAAI
2010
15 years 1 months ago
Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
Ian Porteous, Arthur Asuncion, Max Welling
HPCN
1998
Springer
15 years 3 months ago
PARAFLOW: A Dataflow Distributed Data-Computing System
We describe the Paraflow system for connecting heterogeneous computing services together into a flexible and efficient data-mining metacomputer. There are three levels of parallel...
Roy Williams, Bruce Sears