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ICA
2010
Springer
13 years 11 months ago
Binary Sparse Coding
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
Marc Henniges, Gervasio Puertas, Jörg Bornsch...
CVPR
2004
IEEE
14 years 11 months ago
MetaMorphs: Deformable Shape and Texture Models
We present a new class of deformable models, MetaMorphs, whose formulation integrates both shape and interior texture. The model deformations are derived from both boundary and re...
Xiaolei Huang, Dimitris N. Metaxas, Ting Chen
ECCV
2004
Springer
14 years 11 months ago
Towards Intelligent Mission Profiles of Micro Air Vehicles: Multiscale Viterbi Classification
In this paper, we present a vision system for object recognition in aerial images, which enables broader mission profiles for Micro Air Vehicles (MAVs). The most important factors ...
Sinisa Todorovic, Michael C. Nechyba
BIBE
2007
IEEE
114views Bioinformatics» more  BIBE 2007»
14 years 4 months ago
A Hierarchical Grow-and-Match Algorithm for Backbone Resonance Assignments Given 3D Structure
Abstract—This paper develops an algorithm for NMR backbone resonance assignment given a 3D structure and a set of relatively sparse 15 N-edited NMR data, with the through-space 1...
Fei Xiong, Chris Bailey-Kellogg
SMC
2007
IEEE
156views Control Systems» more  SMC 2007»
14 years 4 months ago
Dynamic fusion of classifiers for fault diagnosis
—This paper considers the problem of temporally fusing classifier outputs to improve the overall diagnostic classification accuracy in safety-critical systems. Here, we discuss d...
Satnam Singh, Kihoon Choi, Anuradha Kodali, Krishn...