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ICCV
2005
IEEE
14 years 11 months ago
Reconstructing the Geometry of Flowing Water
We present a recording scheme, image formation model and reconstruction method that enables image-based modeling of flowing bodies of water from multi-video input data. The record...
Bastian Goldlücke, Ivo Ihrke, Marcus A. Magno...
ICML
2009
IEEE
14 years 10 months ago
On sampling-based approximate spectral decomposition
This paper addresses the problem of approximate singular value decomposition of large dense matrices that arises naturally in many machine learning applications. We discuss two re...
Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar
MDAI
2007
Springer
14 years 4 months ago
Lindig's Algorithm for Concept Lattices over Graded Attributes
Formal concept analysis (FCA) is a method of exploratory data analysis. The data is in the form of a table describing relationship between objects (rows) and attributes (columns), ...
Radim Belohlávek, Bernard De Baets, Jan Out...
IRI
2006
IEEE
14 years 3 months ago
Replacing full rectangles by dense rectangles: Concept lattices and attribute implications
— Maximal full rectangles in tabular data are useful in several areas of data engineering. This paper presents a survey of results in which we replace “full rectangles” by ...
Radim Belohlávek, Vilém Vychodil
ICDM
2005
IEEE
185views Data Mining» more  ICDM 2005»
14 years 3 months ago
Semi-Supervised Mixture of Kernels via LPBoost Methods
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao