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ICPR
2010
IEEE
13 years 11 months ago
Pattern Recognition Using Functions of Multiple Instances
The Functions of Multiple Instances (FUMI) method for learning a target prototype from data points that are functions of target and non-target prototypes is introduced. In this pa...
Alina Zare, Paul Gader
PCM
2010
Springer
223views Multimedia» more  PCM 2010»
13 years 6 months ago
Discovering Motion Patterns for Human Action Recognition
In this paper, we propose a novel Spatiotemporal Interest Point (MC-STIP) detector based on the coherent motion pattern around each voxel in videos. Our detector defines the local...
Ziming Zhang, Jiawei Huang, Ze-Nian Li
ICPR
2006
IEEE
1161views computer vision» more  ICPR 2006»
14 years 8 months ago
Local Binary Pattern Descriptors for Dynamic Texture Recognition
Dynamic texture is an extension of texture to the temporal domain. In this paper, a new method for recognizing dynamic textures is proposed. The textures are modeled with concaten...
Guoying Zhao, Matti Pietikäinen
ICPR
2002
IEEE
14 years 8 months ago
Improving Texture Pattern Recognition by Integration of Multiple Texture Feature Extraction Methods
This paper proposes a pixel-based texture classifier that integrates multiple texture feature extraction methods in order to identify the regions of an input image that belong to ...
Miguel Angel García, Domènec Puig
DAGM
2004
Springer
14 years 1 months ago
Using Pattern Recognition for Self-Localization in Semiconductor Manufacturing Systems
In this paper we present a new method for self-localization on wafers using geometric hashing. The proposed technique is robust to image changes induced by process variations, as o...
Michael Lifshits, Roman Goldenberg, Ehud Rivlin, M...