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» Prediction on Spike Data Using Kernel Algorithms
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ECCV
2010
Springer
15 years 2 months ago
Learning to Recognize Objects from Unseen Modalities
Abstract. In this paper we investigate the problem of exploiting multiple sources of information for object recognition tasks when additional modalities that are not present in the...
BMCBI
2010
103views more  BMCBI 2010»
14 years 10 months ago
PostMod: sequence based prediction of kinase-specific phosphorylation sites with indirect relationship
Background: Post-translational modifications (PTMs) have a key role in regulating cell functions. Consequently, identification of PTM sites has a significant impact on understandi...
Inkyung Jung, Akihisa Matsuyama, Minoru Yoshida, D...
RTDB
1996
82views more  RTDB 1996»
14 years 11 months ago
Lock-Free Transactions for Real-Time Systems
We show that previous algorithmic and scheduling work concerning the use of lock-free objects in hard real-timesystems can be extended to support real-time transactions on memory-...
James H. Anderson, Srikanth Ramamurthy, Mark Moir,...
CVPR
2010
IEEE
15 years 6 months ago
Scale-Invariant heat kernel signatures for non-rigid shape recognition
One of the biggest challenges in non-rigid shape retrieval and comparison is the design of a shape descriptor that would maintain invariance under a wide class of transformations ...
Michael Bronstein, Iasonas Kokkinos
JMLR
2006
136views more  JMLR 2006»
14 years 9 months ago
Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis
In this paper we consider a novel Bayesian interpretation of Fisher's discriminant analysis. We relate Rayleigh's coefficient to a noise model that minimises a cost base...
Tonatiuh Peña Centeno, Neil D. Lawrence