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» Machine learning problems from optimization perspective
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DAGM
2010
Springer
15 years 4 months ago
Exploiting Redundancy for Aerial Image Fusion Using Convex Optimization
Abstract. Image fusion in high-resolution aerial imagery poses a challenging problem due to fine details and complex textures. In particular, color image fusion by using virtual or...
Stefan Kluckner, Thomas Pock, Horst Bischof
CAGD
2002
102views more  CAGD 2002»
15 years 3 months ago
Optimal slicing of free-form surfaces
Many applications, such as contour machining, rapid prototyping, and reverse engineering by laser scanner or coordinate measuring machine, involve sampling of free-from surfaces a...
Tait S. Smith, Rida T. Farouki, Mohammad al-Kandar...
ICML
2010
IEEE
15 years 4 months ago
COFFIN: A Computational Framework for Linear SVMs
In a variety of applications, kernel machines such as Support Vector Machines (SVMs) have been used with great success often delivering stateof-the-art results. Using the kernel t...
Sören Sonnenburg, Vojtech Franc
ICML
2006
IEEE
16 years 4 months ago
The relationship between Precision-Recall and ROC curves
Receiver Operator Characteristic (ROC) curves are commonly used to present results for binary decision problems in machine learning. However, when dealing with highly skewed datas...
Jesse Davis, Mark Goadrich
EMSOFT
2001
Springer
15 years 7 months ago
Compiler Optimizations for Adaptive EPIC Processors
Abstract. Advances in VLSI technology have lead to a tremendous increase in the density and number of devices that can be manufactured in a single microchip. One of the interesting...
Krishna V. Palem, Surendranath Talla, Weng-Fai Won...