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CVPR
2010
IEEE
13 years 9 months ago
Learning kernels for variants of normalized cuts: Convex relaxations and applications
We propose a new algorithm for learning kernels for variants of the Normalized Cuts (NCuts) objective – i.e., given a set of training examples with known partitions, how should ...
Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Chr...
SADM
2008
178views more  SADM 2008»
13 years 8 months ago
Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem
: Nonnegative matrix approximation (NNMA) is a popular matrix decomposition technique that has proven to be useful across a diverse variety of fields with applications ranging from...
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon
PEPM
2007
ACM
14 years 3 months ago
Poly-controlled partial evaluation in practice
Poly-Controlled Partial Evaluation (PCPE) is a powerful approach to partial evaluation, which has recently been proposed. PCPE takes into account sets of control strategies instea...
Claudio Ochoa, Germán Puebla
CORR
2012
Springer
225views Education» more  CORR 2012»
12 years 4 months ago
The Filter-Placement Problem and its Application to Minimizing Information Multiplicity
In many information networks, data items – such as updates in social networks, news flowing through interconnected RSS feeds and blogs, measurements in sensor networks, route u...
Dóra Erdös, Vatche Ishakian, Andrei La...
NIPS
2004
13 years 10 months ago
Face Detection - Efficient and Rank Deficient
This paper proposes a method for computing fast approximations to support vector decision functions in the field of object detection. In the present approach we are building on an...
Wolf Kienzle, Gökhan H. Bakir, Matthias O. Fr...