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ICML
2010
IEEE
15 years 7 months ago
Hilbert Space Embeddings of Hidden Markov Models
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
Le Song, Sajid M. Siddiqi, Geoffrey J. Gordon, Ale...
TFS
2008
94views more  TFS 2008»
15 years 6 months ago
Hierarchical Fuzzy CMAC for Nonlinear Systems Modeling
Abstract--Since the fuzzy cerebellar model articulation controller (FCMAC) uses linguistic variables, it is highly intuitive and easily comprehended. Despite the FCMAC's good ...
Wen Yu, Floriberto Ortiz Rodriguez, Marco A. Moren...
MICCAI
2008
Springer
16 years 7 months ago
Efficient Computation of PDF-Based Characteristics from Diffusion MR Signal
Abstract. We present a general method for the computation of PDFbased characteristics of the tissue micro-architecture in MR imaging. The approach relies on the approximation of th...
David Tschumperlé, Haz-Edine Assemlal, Luc ...
ICPR
2006
IEEE
16 years 7 months ago
Matching Interest Points Using Affine Invariant Concentric Circles
We present a new method to perform reliable matching between different images. This method finds complete region correspondences between concentric circles and the corresponding p...
Han-Pang Chiu, Tomás Lozano-Pérez
IPPS
2008
IEEE
16 years 1 months ago
Adaptive tuning in a dynamically changing resource environment
We present preliminary results of a project to create a tuning system that adaptively optimizes programs to the underlying execution platform. We will show initial results from tw...
Seyong Lee, Rudolf Eigenmann