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» On the Learnability of Vector Spaces
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ICML
2003
IEEE
16 years 7 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
16 years 7 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
16 years 1 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
16 years 1 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
16 years 1 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