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» Pattern Recognition Using Functions of Multiple Instances
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ICONIP
2009
14 years 7 months ago
Probabilistic Combination of Multiple Evidence
In pattern recognition systems, data fusion is an important issue and evidence theory is one such method that has been successful. Many researchers have proposed different rules fo...
Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop...
WSCG
2000
84views more  WSCG 2000»
14 years 10 months ago
New Theory of Pattern Recognition on the Basis of Stochastic Geometry
The article offers a new approach towards the construction of recognition features independent of images' displacement or linear deformation. The distinguishing characteristi...
Nikolay G. Fedotov, Luydmila A. Shulga
AAAI
2007
14 years 11 months ago
Multi-Label Learning by Instance Differentiation
Multi-label learning deals with ambiguous examples each may belong to several concept classes simultaneously. In this learning framework, the inherent ambiguity of each example is...
Min-Ling Zhang, Zhi-Hua Zhou
PREMI
2005
Springer
15 years 2 months ago
Geometric Decision Rules for Instance-Based Learning Problems
In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
Binay K. Bhattacharya, Kaustav Mukherjee, Godfried...
MM
2005
ACM
134views Multimedia» more  MM 2005»
15 years 3 months ago
Formulating context-dependent similarity functions
Tasks of information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be formulated in a con...
Gang Wu, Edward Y. Chang, Navneet Panda