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» On the Expressive Power of QLTL
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105
Voted
SSIAI
2000
IEEE
15 years 5 months ago
Using Moment Invariants and HMM in Facial Expression Recognition
Moment invariants are invariant under shifting, scaling and rotation. They are widely used in pattern recognition because of their discrimination power and robustness. HMM method ...
Y. Zhu, Liyanage C. De Silva, Chi Chung Ko
ASWC
2006
Springer
15 years 4 months ago
Modular Ontologies - A Formal Investigation of Semantics and Expressivity
With the growing interest in modular ontology languages to address the need for collaborative development, integration, and use of ontologies on the Web, there is an urgent need fo...
Jie Bao, Doina Caragea, Vasant Honavar
APN
2006
Springer
15 years 2 months ago
How Expressive Are Petri Net Schemata?
Petri net schemata are an intuitive and expressive approach to describe high-level Petri nets. A Petri net schema is a Petri net with edges and transitions inscribed by terms and B...
Andreas Glausch, Wolfgang Reisig
ICIP
2009
IEEE
16 years 1 months ago
Facial Expression Recognition Based On Graph-preserving Sparse Non-negative Matrix Factorization
In this paper, we present a novel algorithm for representing facial expressions. The algorithm is based on the non-negative matrix factorization (NMF) algorithm, which decomposes ...
129
Voted
ACII
2005
Springer
15 years 6 months ago
Face Alignment Under Various Poses and Expressions
In this paper, we present a face alignment system to deal with various poses and expressions. In addition to global shape model, we use component shape model such as mouth shape mo...
Shengjun Xin, Haizhou Ai