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ACSW
2004
13 years 10 months ago
A wavelet-based neuro-fuzzy system for data mining small image sets
Creating a robust image classification system depends on having enough data with which one can adequately train and validate the model. If there is not enough available data, this...
Brendon J. Woodford, Da Deng, George L. Benwell
ICML
2004
IEEE
14 years 9 months ago
Robust feature induction for support vector machines
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
Rong Jin, Huan Liu
AIEDU
2008
174views more  AIEDU 2008»
13 years 9 months ago
Automatic Extraction of Pedagogic Metadata from Learning Content
Annotating learning material with metadata allows easy reusability by different learning/tutoring systems. Several metadata standards have been developed to represent learning obje...
Devshri Roy, Sudeshna Sarkar, Sujoy Ghose
LREC
2010
164views Education» more  LREC 2010»
13 years 10 months ago
Learning to Mine Definitions from Slovene Structured and Unstructured Knowledge-Rich Resources
The paper presents an innovative approach to extract Slovene definition candidates from domain-specific corpora using morphosyntactic patterns, automatic terminology recognition a...
Darja Fiser, Senja Pollak, Spela Vintar
JCP
2008
167views more  JCP 2008»
13 years 8 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao