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KDD
2008
ACM
128views Data Mining» more  KDD 2008»
14 years 10 months ago
Scaling up text classification for large file systems
: We combine the speed and scalability of information retrieval with the generally superior classification accuracy offered by machine learning, yielding a two-phase text classifie...
George Forman, Shyamsundar Rajaram
CVPR
2010
IEEE
14 years 2 months ago
Taxonomic Classification for Web-based Videos
Categorizing web-based videos is an important yet challenging task. The difficulties arise from large data diversity within a category, lack of labeled data, and degradation of vi...
Yang Song, Ming Zhao, Jay Yagnik, Xiaoyun Wu
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
14 years 1 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
AUSDM
2008
Springer
243views Data Mining» more  AUSDM 2008»
14 years 8 days ago
Structure-Based Document Model with Discrete Wavelet Transforms and Its Application to Document Classification
Term signal is an existing text representation that depicts a term as a vector of frequencies of occurrences in a number of user-defined partitions of a document. Although term si...
Supphachai Thaicharoen, Tom Altman, Krzysztof J. C...
PAMI
2006
208views more  PAMI 2006»
13 years 10 months ago
Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling
Linear subspace methods that provide sufficient reconstruction of the data, such as PCA, offer an efficient way of dealing with missing pixels, outliers, and occlusions that often ...
Sanja Fidler, Danijel Skocaj, Ales Leonardis