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» Optimizing Feature Sets for Structured Data
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BMCBI
2006
126views more  BMCBI 2006»
13 years 7 months ago
Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass ge
Background: Due to the large number of genes in a typical microarray dataset, feature selection looks set to play an important role in reducing noise and computational cost in gen...
Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
SCALESPACE
2007
Springer
14 years 1 months ago
Combining Different Types of Scale Space Interest Points Using Canonical Sets
Scale space interest points capture important photometric and deep structure information of an image. The information content of such points can be made explicit using image recons...
Frans Kanters, Trip Denton, Ali Shokoufandeh, Luc ...
JMLR
2010
101views more  JMLR 2010»
13 years 2 months ago
Exploiting Feature Covariance in High-Dimensional Online Learning
Some online algorithms for linear classification model the uncertainty in their weights over the course of learning. Modeling the full covariance structure of the weights can prov...
Justin Ma, Alex Kulesza, Mark Dredze, Koby Crammer...
MICCAI
2001
Springer
13 years 12 months ago
Segmentation of Dynamic N-D Data Sets via Graph Cuts Using Markov Models
Abstract. This paper describes a new segmentation technique for multidimensional dynamic data. One example of such data is a perfusion sequence where a number of 3D MRI volumes sho...
Yuri Boykov, Vivian S. Lee, Henry Rusinek, Ravi Ba...
IPM
2006
167views more  IPM 2006»
13 years 7 months ago
Browsing mixed structured and unstructured data
Both structured and unstructured data, as well as structured data representing several different types of tuples, may be integrated into a single list for browsing or retrieval. D...
Robert M. Losee