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» Learning the Relative Importance of Features in Image Data
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RECOMB
2004
Springer
16 years 5 days ago
Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response
We present a novel classification-based algorithm called GeneClass for learning to predict gene regulatory response. Our approach is motivated by the hypothesis that in simple orga...
Manuel Middendorf, Anshul Kundaje, Chris Wiggins, ...
ACCV
2010
Springer
14 years 7 months ago
Randomised Manifold Forests for Principal Angle-Based Face Recognition
Abstract. In set-based face recognition, each set of face images is often represented as a linear/nonlinear manifold and the Principal Angles (PA) or Kernel PAs are exploited to me...
Ujwal D. Bonde, Tae-Kyun Kim, K. R. Ramakrishnan
VMV
2008
157views Visualization» more  VMV 2008»
15 years 1 months ago
Flexible GPU-Based Multi-Volume Ray-Casting
Using combinations of different volumetric datasets is becoming more common in scientific applications, especially medical environments such as neurosurgery where multiple imaging...
Ralph Brecheisen, Anna Vilanova Bartrolí, B...
ACCV
2009
Springer
15 years 6 months ago
Twisted Cubic: Degeneracy Degree and Relationship with General Degeneracy
Fundamental matrix, drawing geometric relationship between two images, plays an important role in 3-dimensional computer vision. Degenerate configurations of space points and two ...
Tian Lan, Yihong Wu, Zhanyi Hu
BIRD
2007
Springer
15 years 3 months ago
An Evaluation of Text Retrieval Methods for Similarity Search of Multi-dimensional NMR-Spectra
Abstract. Searching and mining nuclear magnetic resonance (NMR)spectra of naturally occurring substances is an important task to investigate new potentially useful chemical compoun...
Alexander Hinneburg, Andrea Porzel, Karina Wolfram