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» Using synthetic data safely in classification
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ECML
2006
Springer
13 years 11 months ago
Margin-Based Active Learning for Structured Output Spaces
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Dan Roth, Kevin Small
ICML
2010
IEEE
13 years 8 months ago
Local Minima Embedding
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
Minyoung Kim, Fernando De la Torre
TCBB
2010
108views more  TCBB 2010»
13 years 2 months ago
Identification of Full and Partial Class Relevant Genes
Multiclass cancer classification on microarray data has provided the feasibility of cancer diagnosis across all of the common malignancies in parallel. Using multiclass cancer feat...
Zexuan Zhu, Yew-Soon Ong, Jacek M. Zurada
ECCV
2004
Springer
14 years 9 months ago
Classifying Materials from Their Reflectance Properties
We explore the possibility of recognizing the surface material from a single image with unknown illumination, given the shape of the surface. Model-based PCA is used to create a lo...
Peter Nillius, Jan-Olof Eklundh
PLDI
2010
ACM
13 years 10 months ago
DRFX: a simple and efficient memory model for concurrent programming languages
The most intuitive memory model for shared-memory multithreaded programming is sequential consistency (SC), but it disallows the use of many compiler and hardware optimizations th...
Daniel Marino, Abhayendra Singh, Todd D. Millstein...