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» On the Learnability of Vector Spaces
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ICML
2003
IEEE
15 years 10 months ago
Kernel PLS-SVC for Linear and Nonlinear Classification
A new method for classification is proposed. This is based on kernel orthonormalized partial least squares (PLS) dimensionality reduction of the original data space followed by a ...
Roman Rosipal, Leonard J. Trejo, Bryan Matthews
ISBI
2006
IEEE
15 years 10 months ago
Computing an average anatomical atlas using LDDMM and geodesic shooting
Average 3D digital atlas construction from a set of images is an important task for registration and assessment of intraand inter-population differences in structural and function...
Mirza Faisal Beg, Ali R. Khan
ICPR
2010
IEEE
15 years 5 months ago
Gait Learning-Based Regenerative Model: A Level Set Approach
We propose a learning method for gait synthesis from a sequence of shapes(frames) with the ability to extrapolate to novel data. It involves the application of PCA, first to redu...
Muayed Sattar Al-Huseiny, Sasan Mahmoodi, Mark Nix...
FOSSACS
2010
Springer
15 years 4 months ago
Monads Need Not Be Endofunctors
Abstract. We introduce a generalisation of monads, called relative monads, allowing for underlying functors between different categories. Examples include finite-dimensional vect...
Thorsten Altenkirch, James Chapman, Tarmo Uustalu
ICASSP
2009
IEEE
15 years 4 months ago
Transmit/receive beamforming for MIMO radar with colocated antennas
We propose a new technique for multiple-input multiple-output (MIMO) radar with colocated antennas. The essence of the proposed technique is to partition the transmitting array in...
Aboulnasr Hassanien, Sergiy A. Vorobyov