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KDD
2008
ACM
137views Data Mining» more  KDD 2008»
16 years 2 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto
ICML
2008
IEEE
16 years 3 months ago
ICA and ISA using Schweizer-Wolff measure of dependence
We propose a new algorithm for independent component and independent subspace analysis problems. This algorithm uses a contrast based on the Schweizer-Wolff measure of pairwise de...
Barnabás Póczos, Sergey Kirshner
61
Voted
ICC
2007
IEEE
15 years 8 months ago
Performance Analysis and Evaluation of VDSL2 Systems: Band-Plan Study
— In this paper we discuss the performance of different profiles of VDSL2 systems in a frequency range up to 12 MHz (bandplan 998 and 997, corresponding to the European region) u...
Hernán Córdova, Teun van der Veen, L...
DAGSTUHL
2009
15 years 3 months ago
Learning Highly Structured Manifolds: Harnessing the Power of SOMs
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
Erzsébet Merényi, Kadim Tasdemir, Li...
134
Voted
MICCAI
2000
Springer
15 years 6 months ago
Simulation of Corticospinal Tract Displacement in Patients with Brain Tumors
The spatial relationship between the corticospinal tracts and a brain tumor is important for planning the surgical strategy. Although the white matter tracts can be manually outlin...
Michael Kaus, Arya Nabavi, C. T. Mamisch, William ...