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124
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ICDM
2008
IEEE
182views Data Mining» more  ICDM 2008»
15 years 9 months ago
Multiple-Instance Regression with Structured Data
We present a multiple-instance regression algorithm that models internal bag structure to identify the items most relevant to the bag labels. Multiple-instance regression (MIR) op...
Kiri L. Wagstaff, Terran Lane, Alex Roper
115
Voted
ISESE
2005
IEEE
15 years 8 months ago
Exploratory testing: a multiple case study
Exploratory testing (ET) – simultaneous learning, test design, and test execution – is an applied practice in industry but lacks research. We present the current knowledge of ...
Juha Itkonen, Kristian Rautiainen
140
Voted
NAACL
2004
15 years 3 months ago
Multiple Similarity Measures and Source-Pair Information in Story Link Detection
State-of-the-art story link detection systems, that is, systems that determine whether two stories are about the same event or linked, are usually based on the cosine-similarity m...
Francine Chen, Ayman Farahat, Thorsten Brants
DAGM
2010
Springer
15 years 3 months ago
Random Fourier Approximations for Skewed Multiplicative Histogram Kernels
Abstract. Approximations based on random Fourier features have recently emerged as an efficient and elegant methodology for designing large-scale kernel machines [4]. By expressing...
Fuxin Li, Catalin Ionescu, Cristian Sminchisescu
121
Voted
ICRA
2010
IEEE
101views Robotics» more  ICRA 2010»
15 years 29 days ago
Searching for objects: Combining multiple cues to object locations using a maximum entropy model
— In this paper, we consider the problem of how background knowledge about usual object arrangements can be utilized by a mobile robot to more efficiently find an object in an ...
Dominik Joho, Wolfram Burgard