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ICPR
2008
IEEE
14 years 4 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock
ICPR
2008
IEEE
14 years 4 months ago
Embedding HMM's-based models in a Euclidean space: The topological hidden Markov models
One of the major limitations of HMM-based models is the inability to cope with topology: When applied to a visible observation (VO) sequence, HMM-based techniques have difficulty ...
Djamel Bouchaffra
AICCSA
2007
IEEE
84views Hardware» more  AICCSA 2007»
14 years 4 months ago
Encoding Algorithms for Logic Synthesis
This paper presents an encoding algorithm that is very efficient for many different logic synthesis problems. The algorithm is based on the use of special tables and includes two ...
Valery Sklyarov, Iouliia Skliarova
ICDAR
2007
IEEE
14 years 4 months ago
A Shared Parts Model for Document Image Recognition
We address document image classification by visual appearance. An image is represented by a variable-length list of visually salient features. A hierarchical Bayesian network is ...
M. Das Gupta, P. Sarkar
CRV
2005
IEEE
132views Robotics» more  CRV 2005»
14 years 3 months ago
Face Recognition with Weighted Locally Linear Embedding
We present an approach to recognizing faces with varying appearances which also considers the relative probability of occurrence for each appearance. We propose and demonstrate ex...
Nathan Mekuz, Christian Bauckhage, John K. Tsotsos