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IJON
2007
85views more  IJON 2007»
15 years 1 months ago
Hierarchical dynamical models of motor function
Hierarchical models of motor function are described in which the motor system encodes a hierarchy of dynamical motor primitives. The models are based on continuous attractor neura...
Simon M. Stringer, Edmund T. Rolls
KI
2007
Springer
15 years 1 months ago
Improving the Detection of Unknown Computer Worms Activity Using Active Learning
Detecting unknown worms is a challenging task. Extant solutions, such as anti-virus tools, rely mainly on prior explicit knowledge of specific worm signatures. As a result, after t...
Robert Moskovitch, Nir Nissim, Dima Stopel, Clint ...
TNN
2008
93views more  TNN 2008»
15 years 1 months ago
Towards the Optimal Design of Numerical Experiments
This paper addresses the problem of the optimal design of numerical experiments for the construction of nonlinear surrogate models. We describe a new method, called learner disagre...
S. Gazut, J.-M. Martinez, Gérard Dreyfus, Y...
MICCAI
2010
Springer
15 years 12 days ago
Actin Filament Segmentation Using Spatiotemporal Active-Surface and Active-Contour Models
Abstract. We introduce a novel algorithm for actin filament segmentation in a 2D TIRFM image sequence. We treat the 2D time-lapse sequence as a 3D image volume and propose an over...
Hongsheng Li, Tian Shen, Dimitrios Vavylonis, Xiao...
IJCV
2010
158views more  IJCV 2010»
15 years 13 days ago
Metric Learning for Image Alignment
Abstract Image alignment has been a long standing problem in computer vision. Parameterized Appearance Models (PAMs) such as the Lucas-Kanade method, Eigentracking, and Active Appe...
Minh Hoai Nguyen, Fernando De la Torre