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ICDM
2010
IEEE
134views Data Mining» more  ICDM 2010»
15 years 4 months ago
Consequences of Variability in Classifier Performance Estimates
The prevailing approach to evaluating classifiers in the machine learning community involves comparing the performance of several algorithms over a series of usually unrelated data...
Troy Raeder, T. Ryan Hoens, Nitesh V. Chawla
ICDM
2005
IEEE
185views Data Mining» more  ICDM 2005»
16 years 6 days ago
Semi-Supervised Mixture of Kernels via LPBoost Methods
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao
ECCV
2008
Springer
16 years 8 months ago
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
Andrew Gilbert, John Illingworth, Richard Bowden
IJSI
2008
129views more  IJSI 2008»
15 years 6 months ago
Managing the Acronym/Expansion Identification Process for Text-Mining Applications
This paper deals with an acronym/definition extraction approach from textual data (corpora) and the disambiguation of these definitions (or expansions). Both steps of our global pr...
Mathieu Roche, Violaine Prince
CDC
2009
IEEE
164views Control Systems» more  CDC 2009»
15 years 11 months ago
Evaluation of track following servo performance for patterned servo sectors in hard disk drives
— A promising approach for ultra high data storage capacities in magnetic hard disk drives is the use of bitpatterned media (BPM) that allows both higher track densities and incr...
Younghee Han, Raymond A. de Callafon