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» Learning the Relative Importance of Features in Image Data
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ICML
2003
IEEE
14 years 8 months ago
The Pre-Image Problem in Kernel Methods
In this paper, we address the problem of finding the pre-image of a feature vector in the feature space induced by a kernel. This is of central importance in some kernel applicatio...
James T. Kwok, Ivor W. Tsang
ICDM
2010
IEEE
217views Data Mining» more  ICDM 2010»
13 years 5 months ago
Discovering Temporal Features and Relations of Activity Patterns
An important problem that arises during the data mining process in many new emerging application domains is mining data with temporal dependencies. One such application domain is a...
Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook
AIME
2005
Springer
13 years 9 months ago
An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset
In recent years, a few researchers have challenged past dogma and suggested methods (such as the IC algorithm) for inferring causal relationship among variables using steady state ...
Xin Zhang, Chitta Baral, Seungchan Kim
ISBI
2006
IEEE
14 years 8 months ago
Application of temporal texture features to automated analysis of protein subcellular locations in time series fluorescence micr
Protein subcellular locations, as an important property of proteins, are commonly learned using fluorescence microscopy. Previous work by our group has shown that automated analys...
Yanhua Hu, Jesus Carmona, Robert F. Murphy
PRESENCE
2006
70views more  PRESENCE 2006»
13 years 7 months ago
Learning, Experience, and Cognitive Factors in the Presence Experiences of Gamers: An Exploratory Relational Study
This paper presents a large scale (N 101) exploratory relational study of computer gamers' gaming habits and their presence experiences. The study posited and examined the ef...
David Nunez, Edwin H. Blake