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» Toward Objective Evaluation of Image Segmentation Algorithms
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CVPR
2007
IEEE
16 years 5 months ago
Solving Large Scale Binary Quadratic Problems: Spectral Methods vs. Semidefinite Programming
In this paper we introduce two new methods for solving binary quadratic problems. While spectral relaxation methods have been the workhorse subroutine for a wide variety of comput...
Carl Olsson, Anders P. Eriksson, Fredrik Kahl
TAP
2010
Springer
191views Hardware» more  TAP 2010»
15 years 1 months ago
Mesh saliency and human eye fixations
raction, simplification, segmentation, illumination, rendering, and illustration. Even though this technique is inspired by models of low-level human vision, it has not yet been v...
Youngmin Kim, Amitabh Varshney, David W. Jacobs, F...
154
Voted
CVPR
2011
IEEE
14 years 7 months ago
Connecting Non-Quadratic Variational Models and MRFs
Spatially-discrete Markov random fields (MRFs) and spatially-continuous variational approaches are ubiquitous in low-level vision, including image restoration, segmentation, opti...
Kevin Schelten, Stefan Roth
133
Voted
PKDD
2005
Springer
129views Data Mining» more  PKDD 2005»
15 years 9 months ago
Interestingness is Not a Dichotomy: Introducing Softness in Constrained Pattern Mining
Abstract. The paradigm of pattern discovery based on constraints was introduced with the aim of providing to the user a tool to drive the discovery process towards potentially inte...
Stefano Bistarelli, Francesco Bonchi
90
Voted
GRAPHICSINTERFACE
2001
15 years 4 months ago
Assisted Visualization of E-Commerce Auction Agents
This paper describes the integration of perceptual guidelines from human vision with an AI-based mixed-initiative search technique. The result is a visualization assistant, a syst...
Christopher G. Healey, Robert St. Amant, Jiae Chan...