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ECCV
2010
Springer
13 years 10 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
BMCBI
2010
243views more  BMCBI 2010»
13 years 10 months ago
Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data
Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
Christoph Bartenhagen, Hans-Ulrich Klein, Christia...
JCB
2008
159views more  JCB 2008»
13 years 9 months ago
BayesMD: Flexible Biological Modeling for Motif Discovery
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
Man-Hung Eric Tang, Anders Krogh, Ole Winther
TCAD
2002
104views more  TCAD 2002»
13 years 9 months ago
An instruction-level energy model for embedded VLIW architectures
In this paper, an instruction-level energy model is proposed for the data-path of very long instruction word (VLIW) pipelined processors that can be used to provide accurate power ...
Mariagiovanna Sami, Donatella Sciuto, Cristina Sil...
IJHPCA
2010
105views more  IJHPCA 2010»
13 years 8 months ago
A Pipelined Algorithm for Large, Irregular All-Gather Problems
We describe and evaluate a new, pipelined algorithm for large, irregular all-gather problems. In the irregular all-gather problem each process in a set of processes contributes in...
Jesper Larsson Träff, Andreas Ripke, Christia...