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» Resampling methods for input modeling
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CHI
2008
ACM
16 years 4 months ago
Target acquisition with camera phones when used as magic lenses
When camera phones are used as magic lenses in handheld augmented reality applications involving wall maps or posters, pointing can be divided into two phases: (1) an initial coar...
Michael Rohs, Antti Oulasvirta
117
Voted
ICTAI
2009
IEEE
15 years 10 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
134
Voted
3DPVT
2006
IEEE
212views Visualization» more  3DPVT 2006»
15 years 9 months ago
High-Performance Multi-View Reconstruction
We present a high performance reconstruction approach, which generates true 3D models from multiple views with known camera parameters. The complete pipeline from depth map genera...
Christopher Zach, Mario Sormann, Konrad F. Karner
133
Voted
ICSR
2004
Springer
15 years 9 months ago
Feature Dependency Analysis for Product Line Component Design
Analyzing commonalities and variabilities among products of a product line is an essential activity for product line asset development. A feature-oriented approach to commonality a...
Kwanwoo Lee, Kyo Chul Kang
146
Voted
SBRN
1998
IEEE
15 years 7 months ago
Design of Radial Basis Function Network as Classifier in Face Recognition Using Eigenfaces
In this paper we investigate alternative designs of a Radial Basis Function Network acting as classifier in a face recognition system. Input to the RBF network is the projections ...
Carlos E. Thomaz, Raul Queiroz Feitosa, Alvaro Vei...