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CVPR
2007
IEEE
14 years 10 months ago
Learning Kernel Expansions for Image Classification
Kernel machines (e.g. SVM, KLDA) have shown state-ofthe-art performance in several visual classification tasks. The classification performance of kernel machines greatly depends o...
Fernando De la Torre, Oriol Vinyals
ICASSP
2010
IEEE
13 years 8 months ago
High precision frequency estimation for harpsichord tuning classification
We present a novel music signal processing task of classifying the tuning of a harpsichord from audio recordings of standard musical works. We report the results of a classificat...
Dan Tidhar, Matthias Mauch, Simon Dixon
ICDM
2007
IEEE
162views Data Mining» more  ICDM 2007»
14 years 13 days ago
Exploiting Network Structure for Active Inference in Collective Classification
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
Matthew J. Rattigan, Marc Maier, David Jensen, Bin...
IPPS
1999
IEEE
14 years 26 days ago
Parallel Out-of-Core Divide-and-Conquer Techniques with Application to Classification Trees
Classification is an important problem in the field of data mining. Construction of good classifiers is computationally intensive and offers plenty of scope for parallelization. D...
Mahesh K. Sreenivas, Khaled Alsabti, Sanjay Ranka
ICPR
2006
IEEE
14 years 9 months ago
Shape-based Discrimination and Classification of Cortical Surfaces
Advances in medical imaging technique make it possible to study shape variations of neuroanatomical structures in vivo, which has been proved useful in the study of neuropathology...
Arthur K. Liu, Bruce Fischl, Florent Ségonn...