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BCS
2008
13 years 8 months ago
Improved SIFT-Features Matching for Object Recognition
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
Faraj Alhwarin, Chao Wang, Danijela Ristic-Durrant...
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
14 years 7 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
CVPR
2005
IEEE
13 years 9 months ago
Articulated Structure from Motion by Factorization
Multibody affine Structure From Motion (SFM) methods commonly assume independent motion between objects such that the ‘measurement matrix’ has rank 4k. When multiple views ar...
Philip A. Tresadern, Ian D. Reid
HICSS
1994
IEEE
149views Biometrics» more  HICSS 1994»
13 years 11 months ago
Stochastic Problem Solving by Local Computation Based on Self-Organization Paradigm
We are developing a new problem-solving methodology based on a self-organization paradigm. To realize our future goal of self-organizing computational systems, we have to study co...
Yasusi Kanada, Masao Hirokawa
WSC
1997
13 years 8 months ago
Integrating Distributed Simulation Objects
Creating comprehensive simulation models can be expensive and time consuming. This paper discusses our efforts to develop a general methodology that will allow users to quickly an...
Joseph A. Heim