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» On the Complexity of Function Learning
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ICPR
2000
IEEE
16 years 6 months ago
Image Recognition on the Neural Network Based on Multi-Valued Neurons
Multi-valued neurons are the neural processing elements with complex-valued weights, huge functionality (it is possible to implement on the single neuron arbitrary mapping describ...
Igor N. Aizenberg, Naum N. Aizenberg, Constantine ...
EMNLP
2010
15 years 2 months ago
Hashing-Based Approaches to Spelling Correction of Personal Names
We propose two hashing-based solutions to the problem of fast and effective personal names spelling correction in People Search applications. The key idea behind our methods is to...
Raghavendra Udupa, Shaishav Kumar
KDD
2003
ACM
130views Data Mining» more  KDD 2003»
16 years 5 months ago
Towards systematic design of distance functions for data mining applications
Distance function computation is a key subtask in many data mining algorithms and applications. The most effective form of the distance function can only be expressed in the conte...
Charu C. Aggarwal
LOPSTR
2005
Springer
15 years 10 months ago
Declarative Programming with Function Patterns
We propose an extension of functional logic languages that allows the definition of operations with patterns containing other defined operation symbols. Such “function patterns...
Sergio Antoy, Michael Hanus
APVIS
2009
15 years 6 months ago
Visibility-driven transfer functions
Direct volume rendering is an important tool for visualizing complex data sets. However, in the process of generating 2D images from 3D data, information is lost in the form of at...
Carlos D. Correa, Kwan-Liu Ma