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117
Voted
CVPR
2005
IEEE
16 years 2 months ago
Particle Filtering for Geometric Active Contours with Application to Tracking Moving and Deforming Objects
Geometric active contours are formulated in a manner which is parametrization independent. As such, they are amenable to representation as the zero level set of the graph of a hig...
Yogesh Rathi, Namrata Vaswani, Allen Tannenbaum, A...
110
Voted
IPMI
2005
Springer
16 years 1 months ago
3D Active Shape Models Using Gradient Descent Optimization of Description Length
Abstract. Active Shape Models are a popular method for segmenting three-dimensional medical images. To obtain the required landmark correspondences, various automatic approaches ha...
Tobias Heimann, Ivo Wolf, Tomos G. Williams, Hans-...
81
Voted
DCC
2006
IEEE
16 years 12 days ago
Distortion Control for Queues with Deadlines
We investigate the optimum transmission strategy that minimizes the overall distortion for delaysensitive but distortion-tolerant data. We consider a set of source symbols residin...
Azadeh Faridi, Anthony Ephremides
86
Voted
ICTAI
2009
IEEE
15 years 7 months ago
EBLearn: Open-Source Energy-Based Learning in C++
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
Pierre Sermanet, Koray Kavukcuoglu, Yann LeCun
100
Voted
IJCNN
2008
IEEE
15 years 7 months ago
On the learning of nonlinear visual features from natural images by optimizing response energies
— The operation of V1 simple cells in primates has been traditionally modelled with linear models resembling Gabor filters, whereas the functionality of subsequent visual cortic...
Jussi T. Lindgren, Aapo Hyvärinen