This panel deals with the relationships between artificial intelligence and pattern recognition. It addresses such issues as: How do the fields differ? How should they relate to one another? In particular, does AI have anything to learn from PR? Pattern recognition, classically, involves the extraction of features and their subsequent analysis in feature space using statistical tools or cluster...

The obvious characteristics of urban thermal environment and heat island effect have brought a series negative effects on ecosystem structure residents' health. Scholars at home abroad conducted basic researches environment, but there is lack areas with rapid urbanization many interference factors. There are few measures or suggestions to improve from the perspective ecological sustainable deve...

In this paper we analyse theoretical foundations of syntactic pattern recognition and its relationships with mathematical linguistics, structural pattern recognition, and statistical pattern recognition. We point out that all the above mentioned methods are based on two fundamental operations: the combination of parts into wholes and abstraction. We provide examples of those operations in diffe...

-In this paper, the authors combine two algorithms for application to the recognition of unconstrained isolated handwritten numerals. The first algorithm employs a modified quadratic discriminant function utilizing direction sensitive spatial features of the numeral image. The second algorithm utilizes features derived from the profile of the character in a structural configuration to recognize...

many researchers adopt local binary pattern for pattern analysis. however, the long histogram created by local binary pattern is not suitable for large-scale facial database. this paper presents a simple facial pattern descriptor for facial expression recognition. local pattern is computed based on local gradient flow from one side to another side through the center pixel in a 3x3 pixels region...

Ho, T.K., J.J. Hull and S.N. Srihari, A word shape analysis approach to lexicon based word recognition, Pattern Recognition Letters 13 (1992) 821-826. A method for word recognition is presented that is based on an analysis of the shape of a word as a whole object. It is demonstrated to be a useful alternative for recognizing degraded word images that are prone to errors in character segmentation.

Classification of image textures is an important task in image processing and pattern recognition. Over the years, extensive researches have been done for the classification of the texture images. The wavelet transform is an important multi-resolution analysis tool has been commonly applied to image analysis and various classification systems. The texture is characterized by a set of channel va...