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» Efficient Classification for Metric Data
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VIS
2004
IEEE
186views Visualization» more  VIS 2004»
14 years 9 months ago
Hardware-Accelerated Adaptive EWA Volume Splatting
We present a hardware-accelerated adaptive EWA volume splatting algorithm. EWA splatting combines a Gaussian reconstruction kernel with a low-pass image filter for high image qual...
Wei Chen, Liu Ren, Matthias Zwicker, Hanspeter Pfi...
ICML
2006
IEEE
14 years 8 months ago
Deterministic annealing for semi-supervised kernel machines
An intuitive approach to utilizing unlabeled data in kernel-based classification algorithms is to simply treat unknown labels as additional optimization variables. For marginbased...
Vikas Sindhwani, S. Sathiya Keerthi, Olivier Chape...
ISBI
2006
IEEE
14 years 8 months ago
Mixture principal component analysis for distribution volume parametric imaging in brain PET studies
In this paper, we present a mixture Principal Component Analysis (mPCA)-based approach for voxel level quantification of dynamic positron emission tomography (PET) data in brain s...
Peng Qiu, Z. Jane Wang, K. J. Ray Liu
KDD
2008
ACM
167views Data Mining» more  KDD 2008»
14 years 8 months ago
A sequential dual method for large scale multi-class linear svms
Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as w...
S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang...
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
14 years 8 months ago
On updates that constrain the features' connections during learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Jian Huang 0002