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IBPRIA
2003
Springer
15 years 12 months ago
Reducing Training Sets by NCN-based Exploratory Procedures
In this paper, a new approach to training set size reduction is presented. This scheme basically consists of defining a small number of prototypes that represent all the original ...
María Teresa Lozano, José Salvador S...
ICDAR
2003
IEEE
16 years 6 hour ago
Accelerating Large Character Set Recognition using Pivots
This paper proposes a method to accelerate character recognition of a large character set by employing pivots into the search space. We divide the feature space of character categ...
Yiping Yang, Ondrej Velek, Masaki Nakagawa
CHI
1994
ACM
15 years 10 months ago
Using aggregation and dynamic queries for exploring large data sets
When working with large data sets, users perform three primary types of activities: data manipulation, data analysis, and data visualization. The data manipulation process involve...
Jade Goldstein, Steven F. Roth
LREC
2010
160views Education» more  LREC 2010»
15 years 8 months ago
STeP-1: A Set of Fundamental Tools for Persian Text Processing
Many NLP applications need fundamental tools to convert the input text into appropriate form or format and extract the primary linguistic knowledge of words and sentences. These t...
Mehrnoush Shamsfard, Hoda Sadat Jafari, Mahdi Ilbe...
SIGKDD
2000
237views more  SIGKDD 2000»
15 years 6 months ago
The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation
Advances in data collection and storage have allowed organizations to create massive, complex and heterogeneous databases, which have stymied traditional methods of data analysis....
Stephen D. Bay, Dennis F. Kibler, Michael J. Pazza...